Min Zhang

Orcid: 0000-0002-3895-5510

Affiliations:
  • Harbin Institute of Technology, School of Computer Science and Technology, Institute of Computing and Intelligence, Shenzhen, China
  • Soochow University, School of Computer Science and Technology, Suzhou, China (since 2013)
  • Institute for Infocomm Research, Singapore (2003-2013)
  • Infotalk Technology, Singapore (2001-2003)
  • Lernout & Hauspie Asia Pacific, Singapore (1999-2001)
  • Korean Advanced Institute of Science and Technology, Daejeon, South Korea (1997-1999)
  • Harbin Institute of Technology, China (PhD 1997)


According to our database1, Min Zhang authored at least 856 papers between 2000 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
A Survey: Spatiotemporal Consistency in Video Generation.
ACM Comput. Surv., September, 2026

Hybrid Dynamic Event-Triggered State Observer Design for Nonlinear Switched Systems.
Circuits Syst. Signal Process., June, 2026

Loong: A Human-Like Long Document Translation Agent with Observe-and-Act Adaptive Context Selection.
CoRR, May, 2026

Loong: A Human-Like Long Document Translation Agent with Observe-and-Act Adaptive Context Selection.
CoRR, May, 2026

User-Aware Active Knowledge Acquisition for Emotional Support Dialogue.
CoRR, May, 2026

Reasoning Matters: Mitigate Hallucination in Multimodal Large Reasoning Models via Reasoning-Conditioned Preference Optimization.
CoRR, May, 2026

CRPO: Character-centric Group Relative Policy Optimization for Role-aware Reasoning in Role-playing Agents.
CoRR, May, 2026

Tailoring Teaching to Aptitude: Direction-Adaptive Self-Distillation for LLM Reasoning.
CoRR, May, 2026

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding.
CoRR, May, 2026

MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading.
CoRR, May, 2026

Through the Lens of Character: Resolving Modality-Role Interference in Multimodal Role-Playing Agent.
CoRR, May, 2026

SearchSkill: Teaching LLMs to Use Search Tools with Evolving Skill Banks.
CoRR, May, 2026

CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers.
CoRR, May, 2026

MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems.
CoRR, May, 2026

A Survey on Human Preference Learning for Aligning Large Language Models.
ACM Comput. Surv., April, 2026

WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments.
CoRR, April, 2026

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling.
CoRR, April, 2026

OGER: A Robust Offline-Guided Exploration Reward for Hybrid Reinforcement Learning.
CoRR, April, 2026

Mitigating Multimodal Hallucination via Phase-wise Self-reward.
CoRR, April, 2026

D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation.
CoRR, April, 2026

Empowering Video Translation using Multimodal Large Language Models.
CoRR, April, 2026

MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis.
CoRR, April, 2026

E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning.
CoRR, April, 2026

When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning.
CoRR, April, 2026

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference.
CoRR, April, 2026

From Pre-trained Models to Large Language Models: A Comprehensive Survey of AI-Driven Psychological Computing.
CoRR, April, 2026

Agentic Tool Use in Large Language Models.
CoRR, April, 2026

Progressive Adaptation of Large Language Models for Multilingual Text Ranking.
ACM Trans. Inf. Syst., March, 2026

NoveltyAgent: Autonomous Novelty Reporting Agent with Point-wise Novelty Analysis and Self-Validation.
CoRR, March, 2026

RouterKGQA: Specialized-General Model Routing for Constraint-Aware Knowledge Graph Question Answering.
CoRR, March, 2026

LMEB: Long-horizon Memory Embedding Benchmark.
CoRR, March, 2026

Where Matters More Than What: Decoding-aligned KV Cache Compression via Position-aware Pseudo Queries.
CoRR, March, 2026

LongFlow: Efficient KV Cache Compression for Reasoning M.
CoRR, March, 2026

Mitigating Translationese Bias in Multilingual LLM-as-a-Judge via Disentangled Information Bottleneck.
CoRR, March, 2026

LycheeCluster: Efficient Long-Context Inference with Structure-Aware Chunking and Hierarchical KV Indexing.
CoRR, March, 2026

Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger.
CoRR, March, 2026

Orchestrating Prompt Expertise: Enhancing Knowledge Distillation via Expert-Guided Tuning.
ACM Trans. Asian Low Resour. Lang. Inf. Process., February, 2026

Multilingual Text-to-Image Person Retrieval via Bidirectional Relation Reasoning and Aligning.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

MSVBench: Towards Human-Level Evaluation of Multi-Shot Video Generation.
CoRR, February, 2026

AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning.
CoRR, February, 2026

Beyond Token-Level Policy Gradients for Complex Reasoning with Large Language Models.
CoRR, February, 2026

Affordance-Graphed Task Worlds: Self-Evolving Task Generation for Scalable Embodied Learning.
CoRR, February, 2026

Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure.
CoRR, February, 2026

DeltaKV: Residual-Based KV Cache Compression via Long-Range Similarity.
CoRR, February, 2026

Stop Rewarding Hallucinated Steps: Faithfulness-Aware Step-Level Reinforcement Learning for Small Reasoning Models.
CoRR, February, 2026

PACE: Defying the Scaling Hypothesis of Exploration in Iterative Alignment for Mathematical Reasoning.
CoRR, February, 2026

LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding.
CoRR, February, 2026

Beyond Unimodal Shortcuts: MLLMs as Cross-Modal Reasoners for Grounded Named Entity Recognition.
CoRR, February, 2026

Instruction Anchors: Dissecting the Causal Dynamics of Modality Arbitration.
CoRR, February, 2026

Decoupling Skeleton and Flesh: Efficient Multimodal Table Reasoning with Disentangled Alignment and Structure-aware Guidance.
CoRR, February, 2026

Learning contextual information and task alignment for emotion cause extraction in conversation.
Frontiers Comput. Sci., January, 2026

CVeDRL: An Efficient Code Verifier via Difficulty-aware Reinforcement Learning.
CoRR, January, 2026

VC-Bench: Pioneering the Video Connecting Benchmark with a Dataset and Evaluation Metrics.
CoRR, January, 2026

Beyond Rigid: Benchmarking Non-Rigid Video Editing.
CoRR, January, 2026

Elastic Attention: Test-time Adaptive Sparsity Ratios for Efficient Transformers.
CoRR, January, 2026

MemoryRewardBench: Benchmarking Reward Models for Long-Term Memory Management in Large Language Models.
CoRR, January, 2026

Character-R1: Enhancing Role-Aware Reasoning in Role-Playing Agents via RLVR.
CoRR, January, 2026

Exploiting Multimodal Knowledge Graph for Multimodal Machine Translation.
IEEE Trans. Multim., 2026

Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs.
IEEE Trans. Image Process., 2026

Efficient speech command recognition leveraging spiking neural networks and progressive time-scaled curriculum distillation.
Neural Networks, 2026

Exploring and enhancing the transfer of distribution in knowledge distillation for autoregressive language models.
Knowl. Based Syst., 2026

Enhancing document-level translation of large language model via translation mixed instructions.
Neurocomputing, 2026

Universal constituency treebanking and parsing: A pilot study.
Comput. Speech Lang., 2026

Causal Inference Supervised Directed Knowledge Generation for Causal Discovery.
Proceedings of the Database Systems for Advanced Applications, 2026

Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse Domains.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Hierarchical Acoustic-Semantic Modeling: Modality Separation and Semantic Coherence for Full-Duplex SLMs.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity Mixture-of-Experts.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Diagnosing and Remedying Representation Deficiencies for Deterministic Reasoning in KGQA.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

DUAL RM: Beyond Rule-based Preference Reward Modeling via Meta-Reward.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive Thinking.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Escaping the Echo Trap: On Credit Assignment Failure in Multi-turn LLM Self-Reflection.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Knowledge Completes the Vision: A Multimodal Entity-aware Retrieval-Augmented Generation Framework for News Image Captioning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Towards Closed-Loop Embodied Empathy Evolution: Probing LLM-Centric Lifelong Empathic Motion Generation in Unseen Scenarios.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Improving Value-based Process Verifier via Low-Cost Variance Reduction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Accelerate Speculative Decoding with Sparse Computation in Verification.
CoRR, December, 2025

Event Extraction in Large Language Model.
CoRR, December, 2025

A Semantically Enhanced Generative Foundation Model Improves Pathological Image Synthesis.
CoRR, December, 2025

From Coefficients to Directions: Rethinking Model Merging with Directional Alignment.
CoRR, December, 2025

Think Before You Prune: Selective Self-Generated Calibration for Pruning Large Reasoning Models.
CoRR, November, 2025

Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data.
CoRR, November, 2025

Towards Fine-Grained Code-Switch Speech Translation with Semantic Space Alignment.
CoRR, November, 2025

LoCoT2V-Bench: A Benchmark for Long-Form and Complex Text-to-Video Generation.
CoRR, October, 2025

FAPO: Flawed-Aware Policy Optimization for Efficient and Reliable Reasoning.
CoRR, October, 2025

Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents.
CoRR, October, 2025

Supervised Fine-Tuning or Contrastive Learning? Towards Better Multimodal LLM Reranking.
CoRR, October, 2025

UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity MoE.
CoRR, October, 2025

MMLongCite: A Benchmark for Evaluating Fidelity of Long-Context Vision-Language Models.
CoRR, October, 2025

Benchmarking Chinese Commonsense Reasoning with a Multi-hop Reasoning Perspective.
CoRR, October, 2025

LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling.
CoRR, October, 2025

Revisiting Long-context Modeling from Context Denoising Perspective.
CoRR, October, 2025

BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs.
CoRR, September, 2025

GenView++: Unifying Adaptive View Generation and Quality-Driven Supervision for Contrastive Representation Learning.
CoRR, September, 2025

From Bias to Balance: Exploring and Mitigating Spatial Bias in LVLMs.
CoRR, September, 2025

Evaluating and Improving Cultural Awareness of Reward Models for LLM Alignment.
CoRR, September, 2025

SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning.
CoRR, September, 2025

Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations.
IEEE Trans. Knowl. Data Eng., August, 2025

Dependency Scoring Learning and Corpus Boosting for Translation-Based Cross-Lingual Dependency Parsing.
ACM Trans. Asian Low Resour. Lang. Inf. Process., August, 2025

VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models.
CoRR, August, 2025

On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey.
CoRR, July, 2025

CaliDrop: KV Cache Compression with Calibration.
CoRR, July, 2025

HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning.
CoRR, July, 2025

Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation.
CoRR, July, 2025

Function-to-Style Guidance of LLMs for Code Translation.
CoRR, July, 2025

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework.
CoRR, July, 2025

Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label Classification.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

The Hidden Link Between RLHF and Contrastive Learning.
CoRR, June, 2025

KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model.
CoRR, June, 2025

AniMaker: Automated Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation.
CoRR, June, 2025

Omni-DPO: A Dual-Perspective Paradigm for Dynamic Preference Learning of LLMs.
CoRR, June, 2025

ComfyUI-R1: Exploring Reasoning Models for Workflow Generation.
CoRR, June, 2025

DISRetrieval: Harnessing Discourse Structure for Long Document Retrieval.
CoRR, June, 2025

Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning.
CoRR, June, 2025

Uni-MoE: Scaling Unified Multimodal LLMs With Mixture of Experts.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting.
CoRR, May, 2025

XBOUND: Exploring the Capability Boundaries of Device-Control Agents through Trajectory Tree Exploration.
CoRR, May, 2025

Evaluating and Steering Modality Preferences in Multimodal Large Language Model.
CoRR, May, 2025

Multi-objective Large Language Model Alignment with Hierarchical Experts.
CoRR, May, 2025

REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Large Reasoning Models.
CoRR, May, 2025

VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization.
CoRR, May, 2025

Knowledge Grafting of Large Language Models.
CoRR, May, 2025

Wolf Hidden in Sheep's Conversations: Toward Harmless Data-Based Backdoor Attacks for Jailbreaking Large Language Models.
CoRR, May, 2025

Dynamic Sampling that Adapts: Iterative DPO for Self-Aware Mathematical Reasoning.
CoRR, May, 2025

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models.
CoRR, May, 2025

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion.
CoRR, May, 2025

Efficient Reasoning for LLMs through Speculative Chain-of-Thought.
CoRR, April, 2025

VideoVista-CulturalLingo: 360<sup>°</sup> Horizons-Bridging Cultures, Languages, and Domains in Video Comprehension.
CoRR, April, 2025

A Unified Agentic Framework for Evaluating Conditional Image Generation.
CoRR, April, 2025

Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains.
CoRR, March, 2025

MoK-RAG: Mixture of Knowledge Paths Enhanced Retrieval-Augmented Generation for Embodied AI Environments.
CoRR, March, 2025

Representation-based Reward Modeling for Efficient Safety Alignment of Large Language Model.
CoRR, March, 2025

XIFBench: Evaluating Large Language Models on Multilingual Instruction Following.
CoRR, March, 2025

The Power of Personality: A Human Simulation Perspective to Investigate Large Language Model Agents.
CoRR, February, 2025

Picking the Cream of the Crop: Visual-Centric Data Selection with Collaborative Agents.
CoRR, February, 2025

ASurvey: Spatiotemporal Consistency in Video Generation.
CoRR, February, 2025

Improving Value-based Process Verifier via Structural Prior Injection.
CoRR, February, 2025

Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis.
CoRR, February, 2025

Evaluating o1-Like LLMs: Unlocking Reasoning for Translation through Comprehensive Analysis.
CoRR, February, 2025

Semantic Role Labeling: A Systematical Survey.
CoRR, February, 2025

FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces.
CoRR, January, 2025

Continuous Knowledge-Preserving Decomposition for Few-Shot Continual Learning.
CoRR, January, 2025

Test-time Computing: from System-1 Thinking to System-2 Thinking.
CoRR, January, 2025

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model.
CoRR, January, 2025

Semi-Supervised Text-Based Person Search.
IEEE Trans. Image Process., 2025

Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-Based Emotion Recognition.
IEEE Trans. Affect. Comput., 2025

Mixture of Hybrid Prompts for Cross-Domain Aspect Sentiment Triplet Extraction.
IEEE Trans. Affect. Comput., 2025

OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure.
Trans. Assoc. Comput. Linguistics, 2025

TF-Attack: Transferable and fast adversarial attacks on large language models.
Knowl. Based Syst., 2025

Annotation error detection in painstakingly annotated data: Part-of-speech tagging as a case study.
Expert Syst. Appl., 2025

OpenBA: an open-sourced 15B bilingual asymmetric Seq2Seq model pre-trained from scratch.
Sci. China Inf. Sci., 2025

Grammar induction from visual, speech and text.
Artif. Intell., 2025

AniMaker: Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation.
Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

Retrieving and Reading Multimodal Documents for Knowledge-Based VQA.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

TianWen: A Comprehensive Benchmark for Evaluating LLMs in Chinese Classical Poetry Understanding and Reasoning.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

Adaptive Inner Speech Text Alignment for LLM-Based Speech Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

Exploring the Translation Mechanism of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

MoDification: Mixture of Depths Made Easy.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MeKB-Sim: Personal Knowledge Base-Powered Multi-Agent Simulation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

The ACM Multimedia 2025 Grand Challenge of Avatar-based Multimodal Empathetic Conversation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Skynet-V1: Towards Early Warning of Video Abnormal Events via A Spatial-temporal Causal-enhanced MoE Framework.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Abstractive Visual Understanding of Multi-modal Structured Knowledge: A New Perspective for MLLM Evaluation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CogMAEC'25: The 1st Workshop on Cognition-oriented Multimodal Affective and Empathetic Computing.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

HITSZ's End-To-End Speech Translation Systems Combining Sequence-to-Sequence Auto Speech Recognition Model and Indic Large Language Model for IWSLT 2025 in Indic Track.
Proceedings of the 22nd International Conference on Spoken Language Translation, 2025

Taming the Titans: A Survey of Efficient LLM Inference Serving.
Proceedings of the 18th International Natural Language Generation Conference, 2025

Learning From Each Other: Exploring A Novel Mutual Learning Paradigm for Enhancing Code Generation Performance.
Proceedings of the International Joint Conference on Neural Networks, 2025

A Survey on the Feedback Mechanism of LLM-based AI Agents.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A 3D Simulation Platform for Fuel Handling and Storage Systems.
Proceedings of the Extended Reality - International Conference, 2025

Function-to-Style Guidance of LLMs for Code Translation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Function-to-Style Guidance of LLMs for Code Translation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Improving Rationality in the Reasoning Process of Language Models through Self-playing Game.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

LOGO - Long cOntext aliGnment via efficient preference Optimization.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Overcoming Non-monotonicity in Transducer-based Streaming Generation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

An End-to-End Model for Photo-Sharing Multi-Modal Dialogue Generation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Revealing and Mitigating Over-Attention in Knowledge Editing.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beware of Calibration Data for Pruning Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Complex Open Information Extraction with Heterogeneous Syntax Forests.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SSVEP-BiMA: Bifocal Masking Attention Leveraging Native and Symmetric-Antisymmetric Components for Robust SSVEP Decoding.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

When Words Smile: Generating Diverse Emotional Facial Expressions from Text.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MMA: Cross-Domain Knowledge Integration via Mixture of Multi-Domain Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

An Evaluation Resource for Grounding Translation Errors.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and Elegance.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DlGR-KB: Dual-Level Graph Reasoning with Key Block Decoupling for Multi-party Dialogue Reading Comprehension.
Proceedings of the Database Systems for Advanced Applications, 2025

Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

ZigZagKV: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

A Survey of Generative Information Extraction.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

InImageTrans: Multimodal LLM-based Text Image Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Basic Reading Distillation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Reflection on Knowledge Graph for Large Language Models Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Speed Up Your Code: Progressive Code Acceleration Through Bidirectional Tree Editing.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Unlocking Recursive Thinking of LLMs: Alignment via Refinement.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Towards Text-Image Interleaved Retrieval.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

Revealing and Mitigating the Local Pattern Shortcuts of Mamba.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

From Awareness to Adaptability: Enhancing Tool Utilization for Scientific Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

An Empirical Study of Iterative Refinements for Non-autoregressive Translation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Unified Agentic Framework for Evaluating Conditional Image Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

L-CiteEval: A Suite for Evaluating Fidelity of Long-context Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

The Rise of Darkness: Safety-Utility Trade-Offs in Role-Playing Dialogue Agents.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Safety Alignment via Constrained Knowledge Unlearning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Decoder-Only LLMs can be Masked Auto-Encoders.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Generative Reward Modeling via Synthetic Criteria Preference Learning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Tool learning via Inference-time Scaling and Cycle Verifier.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Efficient Safety Alignment of Large Language Models via Preference Re-ranking and Representation-based Reward Modeling.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

VideoVista-CulturalLingo: 360° Horizons-Bridging Cultures, Languages, and Domains in Video Comprehension.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLM-based Translation Inference with Iterative Bilingual Understanding.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

\mathcalA³: Automatic Alignment Framework for Attributed Text Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Accurate KV Cache Quantization with Outlier Tokens Tracing.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Training-free LLM-based Approach to General Chinese Character Error Correction.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Patching in Order: Efficient On-Device Model Fine-Tuning for Multi-DNN Vision Applications.
IEEE Trans. Mob. Comput., December, 2024

Enhancing Video-Language Representations With Structural Spatio-Temporal Alignment.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

RAPNet: Resolution-Adaptive and Predictive Early Exit Network for Efficient Image Recognition.
IEEE Internet Things J., October, 2024

Randomness Regularization With Simple Consistency Training for Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening.
IEEE Trans. Circuits Syst. Video Technol., June, 2024

Query-Oriented Micro-Video Summarization.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Stochastic Latent Talking Face Generation Toward Emotional Expressions and Head Poses.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Parameter-Efficient and Student-Friendly Knowledge Distillation.
IEEE Trans. Multim., 2024

LMEye: An Interactive Perception Network for Large Language Models.
IEEE Trans. Multim., 2024

Enhancing Low-Resource NLP by Consistency Training With Data and Model Perturbations.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Automatic Noise Generation and Reduction for Text Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Unsupervised Time-Aware Sampling Network With Deep Reinforcement Learning for EEG-Based Emotion Recognition.
IEEE Trans. Affect. Comput., 2024

Retrieval-style In-context Learning for Few-shot Hierarchical Text Classification.
Trans. Assoc. Comput. Linguistics, 2024

Cross-domain Constituency Parsing by Leveraging Heterogeneous Data.
J. Artif. Intell. Res., 2024

RaSeRec: Retrieval-Augmented Sequential Recommendation.
CoRR, 2024

GME: Improving Universal Multimodal Retrieval by Multimodal LLMs.
CoRR, 2024

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning.
CoRR, 2024

Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation.
CoRR, 2024

LLM-based Discriminative Reasoning for Knowledge Graph Question Answering.
CoRR, 2024

Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation.
CoRR, 2024

LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Tasks.
CoRR, 2024

Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM.
CoRR, 2024

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions.
CoRR, 2024

M<sup>3</sup>D: A Multimodal, Multilingual and Multitask Dataset for Grounded Document-level Information Extraction.
CoRR, 2024

Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation Benchmark.
CoRR, 2024

Learning Monotonic Attention in Transducer for Streaming Generation.
CoRR, 2024

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization.
CoRR, 2024

Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch.
CoRR, 2024

BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation.
CoRR, 2024

LLM-based Translation Inference with Iterative Bilingual Understanding.
CoRR, 2024

L-CiteEval: Do Long-Context Models Truly Leverage Context for Responding?
CoRR, 2024

Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models.
CoRR, 2024

Semantic-Guided Multimodal Sentiment Decoding with Adversarial Temporal-Invariant Learning.
CoRR, 2024

MemLong: Memory-Augmented Retrieval for Long Text Modeling.
CoRR, 2024

LLM with Relation Classifier for Document-Level Relation Extraction.
CoRR, 2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM.
CoRR, 2024

Benchmarking LLMs for Translating Classical Chinese Poetry:Evaluating Adequacy, Fluency, and Elegance.
CoRR, 2024

Evolving Virtual World with Delta-Engine.
CoRR, 2024

Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning.
CoRR, 2024

Timo: Towards Better Temporal Reasoning for Language Models.
CoRR, 2024

VideoVista: A Versatile Benchmark for Video Understanding and Reasoning.
CoRR, 2024

A Survey on Human Preference Learning for Large Language Models.
CoRR, 2024

Agent-SiMT: Agent-assisted Simultaneous Machine Translation with Large Language Models.
CoRR, 2024

Demonstration Augmentation for Zero-shot In-context Learning.
CoRR, 2024

From Role-Play to Drama-Interaction: An LLM Solution.
CoRR, 2024

Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and Bridging.
CoRR, 2024

OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning.
CoRR, 2024

Instruction-Driven Game Engines on Large Language Models.
CoRR, 2024

SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection.
CoRR, 2024

Rethinking Negative Instances for Generative Named Entity Recognition.
CoRR, 2024

LLMs Meet Long Video: Advancing Long Video Comprehension with An Interactive Visual Adapter in LLMs.
CoRR, 2024

SiLLM: Large Language Models for Simultaneous Machine Translation.
CoRR, 2024

When Large Language Models Meet Vector Databases: A Survey.
CoRR, 2024

HA-HI: Synergising fMRI and DTI through Hierarchical Alignments and Hierarchical Interactions for Mild Cognitive Impairment Diagnosis.
CoRR, 2024

LLM-Assisted Data Augmentation for Chinese Dialogue-Level Dependency Parsing.
Comput. Linguistics, 2024

Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

FilmAgent: Automating Virtual Film Production Through a Multi-Agent Collaborative Framework.
Proceedings of the SIGGRAPH Asia 2024 Technical Communications, 2024

Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation.
Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learnability Matters: Active Learning for Video Captioning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

AutoSurvey: Large Language Models Can Automatically Write Surveys.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

In-Context Learning State Vector with Inner and Momentum Optimization.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Parameter Competition Balancing for Model Merging.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

The ACM Multimedia 2024 Viual Spatial Description Grand Challenge.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SpeechEE: A Novel Benchmark for Speech Event Extraction.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

M-HGN: Multi-information Enhanced Heterogeneous Graph Network for Multi-party Dialogue Reading Comprehension.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Pause-Aware Automatic Dubbing using LLM and Voice Cloning.
Proceedings of the 21st International Conference on Spoken Language Translation, 2024

LLM-Driven Multimodal Opinion Expression Identification.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

TGAT-DGL: Triple Graph Attention Networks on Dual-Granularity Level for Multi-party Dialogue Reading Comprehension.
Proceedings of the International Joint Conference on Neural Networks, 2024

VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

LAIP: Learning Local Alignment from Image-Phrase Modeling for Text-based Person Search.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

EmoTVR: A Hybrid Model to Estimate Continuous-Time and Continuous-Level Emotion from Electroencephalography.
Proceedings of the IEEE International Conference on Acoustics, 2024

In-Context Learning for Few-Shot Nested Named Entity Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

Fusing Multi-Level Features from Audio and Contextual Sentence Embedding from Text for Interview-Based Depression Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

BNMTrans: A Brain Network Sequence-Driven Manifold-Based Transformer for Cognitive Impairment Detection Using EEG.
Proceedings of the IEEE International Conference on Acoustics, 2024

Pareto Graph Self-Supervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Dynamic Planning for LLM-based Graphical User Interface Automation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Self-Powered LLM Modality Expansion for Large Speech-Text Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MultiSkill: Evaluating Large Multimodal Models for Fine-grained Alignment Skills.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Achieving Stronger Generation via Simple Contrastive Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CMD: a framework for Context-aware Model self-Detoxification.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Curriculum Consistency Learning for Conditional Sentence Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Improving Aspect-Based Sentiment Analysis via Tuple-Order Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Exploring and Mitigating Shortcut Learning for Generative Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Generative Multimodal Entity Linking.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Submodular-based In-context Example Selection for LLMs-based Machine Translation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Improving Chinese Named Entity Recognition with Multi-grained Words and Part-of-Speech Tags via Joint Modeling.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

When and How to Grow? On Efficient Pre-training via Model Growth.
Proceedings of the Asian Conference on Machine Learning, 2024

CopyNE: Better Contextual ASR by Copying Named Entities.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Chinese Spoken Named Entity Recognition in Real-world Scenarios: Dataset and Approaches.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Context Consistency between Training and Inference in Simultaneous Machine Translation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

On the Hallucination in Simultaneous Machine Translation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

A Two-Stage Adaptation of Large Language Models for Text Ranking.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Efficient Domain Adaptation for Non-Autoregressive Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Concise and Precise Context Compression for Tool-Using Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

From Role-Play to Drama-Interaction: An LLM Solution.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

TasTe: Teaching Large Language Models to Translate through Self-Reflection.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Demonstration Augmentation for Zero-shot In-context Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Revisiting Demonstration Selection Strategies in In-Context Learning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Towards Demonstration-Aware Large Language Models for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Improving Attributed Text Generation of Large Language Models via Preference Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Multimodal Reasoning with Multimodal Knowledge Graph.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Chinese Spelling Corrector Is Just a Language Learner.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Exploring Reversal Mathematical Reasoning Ability for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Unsupervised Sign Language Translation and Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CTC-based Non-autoregressive Textless Speech-to-Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Rethinking Negative Instances for Generative Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Semantic Role Labeling from Chinese Speech via End-to-End Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Temporal Knowledge Question Answering via Abstract Reasoning Induction.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

DB-LLM: Accurate Dual-Binarization for Efficient LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

XNLP: An Interactive Demonstration System for Universal Structured NLP.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024

Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

An Empirical Study of CLIP for Text-Based Person Search.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Fine-Grained Domain Adaptation for Chinese Syntactic Processing.
ACM Trans. Asian Low Resour. Lang. Inf. Process., November, 2023

Stochastic stability analysis of nonlinear semi-Markov jump systems with time delays and incremental quadratic constraints.
J. Frankl. Inst., November, 2023

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Are the BERT family zero-shot learners? A study on their potential and limitations.
Artif. Intell., September, 2023

A Multi-Task Multi-Stage Transitional Training Framework for Neural Chat Translation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Functional connectivity profiles of the default mode and visual networks reflect temporal accumulative effects of sustained naturalistic emotional experience.
NeuroImage, April, 2023

Learning to generate complex question with intent prediction from long passage.
Appl. Intell., March, 2023

Refining History for Future-Aware Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

P-Transformer: Towards Better Document-to-Document Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Curriculum-Style Fine-Grained Adaption for Unsupervised Cross-Lingual Dependency Transfer.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Robust fall detection in video surveillance based on weakly supervised learning.
Neural Networks, 2023

A robust intelligence regression model for monitoring Parkinson's disease based on speech signals.
Future Gener. Comput. Syst., 2023

RankingGPT: Empowering Large Language Models in Text Ranking with Progressive Enhancement.
CoRR, 2023

Towards Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs.
CoRR, 2023

Addressing the Length Bias Problem in Document-Level Neural Machine Translation.
CoRR, 2023

How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions.
CoRR, 2023

Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration.
CoRR, 2023

A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering.
CoRR, 2023

Context Consistency between Training and Testing in Simultaneous Machine Translation.
CoRR, 2023

A Survey of Large Language Models Attribution.
CoRR, 2023

Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting.
CoRR, 2023

Language Models are Universal Embedders.
CoRR, 2023

OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch.
CoRR, 2023

Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models.
CoRR, 2023

Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition.
CoRR, 2023

Detoxify Language Model Step-by-Step.
CoRR, 2023

Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm.
CoRR, 2023

LMEye: An Interactive Perception Network for Large Language Models.
CoRR, 2023

Test-Time Adaptation with Perturbation Consistency Learning.
CoRR, 2023

Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification.
CoRR, 2023

Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening.
CoRR, 2023

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model.
CoRR, 2023

HW-TSC at SemEval-2023 Task 7: Exploring the Natural Language Inference Capabilities of ChatGPT and Pre-trained Language Model for Clinical Trial.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Overview of NLPCC 2023 Shared Task 6: Chinese Few-Shot and Zero-Shot Entity Linking.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

SeSQL: A High-Quality Large-Scale Session-Level Chinese Text-to-SQL Dataset.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Beyond MLE: Convex Learning for Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Video-based Visible-Infrared Person Re-Identification via Style Disturbance Defense and Dual Interaction.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Finetuning Language Models for Multimodal Question Answering.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Enhancing Multi-modal Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Mask Again: Masked Knowledge Distillation for Masked Video Modeling.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Text-based Person Search without Parallel Image-Text Data.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Toward Adversarial Training on Contextualized Language Representation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Emotion Recognition in Conversation from Variable-Length Context.
Proceedings of the IEEE International Conference on Acoustics, 2023

INFORM : Information eNtropy based multi-step reasoning FOR large language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

G-SPEED: General SParse Efficient Editing MoDel.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Addressing the Length Bias Challenge in Document-Level Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Scaling Law for Document Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PromptST: Abstract Prompt Learning for End-to-End Speech Translation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Read-and-Select Framework for Zero-shot Entity Linking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

An Empirical Study of Frame Selection for Text-to-Video Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Empower Nested Boolean Logic via Self-Supervised Curriculum Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Efficient Continue Training of Temporal Language Model with Structural Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Making the Most of ChatGPT for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Non-autoregressive Streaming Transformer for Simultaneous Translation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LLM-enhanced Self-training for Cross-domain Constituency Parsing.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Isotropy-Enhanced Conditional Masked Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Revisiting Sparse Retrieval for Few-shot Entity Linking.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Low-resource Question Answering by Augmenting Question Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Mirror: A Universal Framework for Various Information Extraction Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Seq2Seq Grammatical Error Correction via Decoding Interventions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Revisiting Token Dropping Strategy in Efficient BERT Pretraining.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Generating Visual Spatial Description via Holistic 3D Scene Understanding.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Language Anisotropic Cross-Lingual Model Editing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Towards Better Hierarchical Text Classification with Data Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Open-ended Long Text Generation via Masked Language Modeling.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Dynamic and Efficient Inference for Text Generation via BERT Family.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Rethinking Document-Level Relation Extraction: A Reality Check.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

TemplateGEC: Improving Grammatical Error Correction with Detection Template.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Pilot Study on Dialogue-Level Dependency Parsing for Chinese.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Early Exit with Disentangled Representation and Equiangular Tight Frame.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

TransGEC: Improving Grammatical Error Correction with Translationese.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Adversarial Self-Attention for Language Understanding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Improving Simultaneous Machine Translation with Monolingual Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
One Type Context Is Not Enough: Global Context-aware Neural Machine Translation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., November, 2022

Answer Questions with Right Image Regions: A Visual Attention Regularization Approach.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Loss Re-Scaling VQA: Revisiting the Language Prior Problem From a Class-Imbalance View.
IEEE Trans. Image Process., 2022

Data-Driven Fuzzy Target-Side Representation for Intelligent Translation System.
IEEE Trans. Fuzzy Syst., 2022

Exploring Multi-Stage Information Interactions for Multi-Source Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Multi-Teacher Distillation With Single Model for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Neural Coupled Sequence Labeling for Heterogeneous Annotation Conversion.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Advancing Chinese Event Detection via Revisiting Character Information.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

Neural Emotion Detection via Personal Attributes.
J. Comput. Sci. Technol., 2022

Secure Logistic Regression for Vertical Federated Learning.
IEEE Internet Comput., 2022

Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation.
CoRR, 2022

Mining Word Boundaries in Speech as Naturally Annotated Word Segmentation Data.
CoRR, 2022

SeSQL: Yet Another Large-scale Session-level Chinese Text-to-SQL Dataset.
CoRR, 2022

BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation.
CoRR, 2022

Cognition-driven multimodal personality classification.
Sci. China Inf. Sci., 2022

LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Search-oriented Micro-video Captioning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Medical Dialogue Response Generation with Pivotal Information Recalling.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Binary-perspective Asymmetrical Twin Gain: a Novel Evaluation Method for Question Generation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Effective Graph Context Representation for Document-level Machine Translation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Image-text Retrieval: A Survey on Recent Research and Development.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Semantic-Aligned Feature Representation for Text-Based Person Search.
Proceedings of the IEEE International Conference on Acoustics, 2022

Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Third-Party Aligner for Neural Word Alignments.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

WR-One2Set: Towards Well-Calibrated Keyphrase Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Modeling Consistency Preference via Lexical Chains for Document-level Neural Machine Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Extending Phrase Grounding with Pronouns in Visual Dialogues.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Revisiting Grammatical Error Correction Evaluation and Beyond.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Bi-granularity Adversarial Training for Non-factoid Answer Retrieval.
Proceedings of the Advances in Information Retrieval, 2022

Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures inside Arguments.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Speaker-Aware Discourse Parsing on Multi-Party Dialogues.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch Training.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

RST Discourse Parsing with Second-Stage EDU-Level Pre-training.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Semi-supervised Domain Adaptation for Dependency Parsing with Dynamic Matching Network.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Prediction Difference Regularization against Perturbation for Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Synchronous Refinement for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Deep Fusing Pre-trained Models into Neural Machine Translation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots.
ACM Trans. Inf. Syst., 2021

Group-based Password Characteristics Analysis.
IEEE Netw., 2021

How Does Social Behavior Affect Your Password?
IEEE Netw., 2021

Deep Transformer modeling via grouping skip connection for neural machine translation.
Knowl. Based Syst., 2021

Observer design for semi-Markov jump systems with incremental quadratic constraints.
J. Frankl. Inst., 2021

Improving neural machine translation with latent features feedback.
Neurocomputing, 2021

A Note on Adaptive Observer Design Method for One-Sided Lipschitz Systems.
Circuits Syst. Signal Process., 2021

C<sup>2</sup>-Rec: An Effective Consistency Constraint for Sequential Recommendation.
CoRR, 2021

Fast and Accurate Span-based Semantic Role Labeling as Graph Parsing.
CoRR, 2021

Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments.
CoRR, 2021

Exploiting Rich Syntax for Better Knowledge Base Question Answering.
CoRR, 2021

Not All Attention Is All You Need.
CoRR, 2021

Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots.
CoRR, 2021

Sentiment classification via user and product interactive modeling.
Sci. China Inf. Sci., 2021

Dependency-based syntax-aware word representations.
Artif. Intell., 2021

Emotion Classification with Explicit and Implicit Syntactic Information.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

R-Drop: Regularized Dropout for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Context-Aware Neural Machine Translation with Source-side Monolingual Documents.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-granularity Interaction Fusion for Neural Answer Source Selection.
Proceedings of the International Conference on Asian Language Processing, 2021

Stacked AMR Parsing with Silver Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Coarse-to-Fine Labeling Framework for Joint Word Segmentation, POS Tagging, and Constituent Parsing.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Code Summarization with Structure-induced Transformer.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

An In-depth Study on Internal Structure of Chinese Words.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Novel Sentence-Level Agreement Architecture for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Towards Better Word Alignment in Transformer.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Layer-Wise De-Training and Re-Training for ConvS2S Machine Translation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Improving Neural Machine Translation with Linear Interpolation of a Short-Path Unit.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Chinese Zero Pronoun Resolution: A Chain-to-chain Approach.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Explicitly Modeling Word Translations in Neural Machine Translation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Interactive learning for joint event and relation extraction.
Int. J. Mach. Learn. Cybern., 2020

Improving tree-based neural machine translation with dynamic lexicalized dependency encoding.
Knowl. Based Syst., 2020

Observer for differential inclusion systems with incremental quadratic constraints.
Int. J. Syst. Sci., 2020

Neural Machine Translation with Target-Attention Model.
IEICE Trans. Inf. Syst., 2020

SIT3: Code Summarization with Structure-Induced Transformer.
CoRR, 2020

Hierarchical LSTM with char-subword-word tree-structure representation for Chinese named entity recognition.
Sci. China Inf. Sci., 2020

Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Dependency Parsing with Noisy Multi-annotation Data.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Incorporating Phrase-Level Agreement into Neural Machine Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Multi-Turn Dialogue Generation in E-Commerce Platform with the Context of Historical Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Improving AMR Parsing with Sequence-to-Sequence Pre-training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DuSQL: A Large-Scale and Pragmatic Chinese Text-to-SQL Dataset.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Token Drop mechanism for Neural Machine Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Improving Relation Extraction with Relational Paraphrase Sentences.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Semantic Role Labeling with Heterogeneous Syntactic Knowledge.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Semi-supervised Domain Adaptation for Dependency Parsing via Improved Contextualized Word Representations.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Multi-grained Chinese Word Segmentation with Weakly Labeled Data.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Efficient Second-Order TreeCRF for Neural Dependency Parsing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Aspect Sentiment Classification with Document-level Sentiment Preference Modeling.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Improving Neural Relation Extraction with Positive and Unlabeled Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A novel hybrid publication recommendation system using compound information.
World Wide Web, 2019

Reduced-Complexity Deep Neural Networks Design Using Multi-Level Compression.
IEEE Trans. Sustain. Comput., 2019

Dynamic Working Memory for Context-Aware Response Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类 (BiLSTM-based Implicit Discourse Relation Classification Combining Self-attentionMechanism and Syntactic Information).
计算机科学, 2019

CCKS 2019 Shared Task on Inter-Personal Relationship Extraction.
CoRR, 2019

Syntax-aware entity representations for neural relation extraction.
Artif. Intell., 2019

HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Question Generation Based Product Information.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

IPRE: A Dataset for Inter-Personal Relationship Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Multi-grain Representation Learning for Implicit Discourse Relation Recognition.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Code-Switching for Enhancing NMT with Pre-Specified Translation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Profit-driven Task Assignment in Spatial Crowdsourcing.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Self-attentive Biaffine Dependency Parsing.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Separate Answer Decoding for Multi-class Question Generation.
Proceedings of the International Conference on Asian Language Processing, 2019

How to Answer Comparison Questions.
Proceedings of the International Conference on Asian Language Processing, 2019

Using WHY-type Question-Answer Pairs to Improve Implicit Causal Relation Recognition.
Proceedings of the International Conference on Asian Language Processing, 2019

Modeling Graph Structure in Transformer for Better AMR-to-Text Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Emotion Detection with Neural Personal Discrimination.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Contrastive Attention Mechanism for Abstractive Sentence Summarization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Music Playlist Recommendation with Long Short-Term Memory.
Proceedings of the Database Systems for Advanced Applications, 2019

Unsupervised Entity Alignment Using Attribute Triples and Relation Triples.
Proceedings of the Database Systems for Advanced Applications, 2019

SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT.
Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, 2019

Sentence-Level Agreement for Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Semi-supervised Domain Adaptation for Dependency Parsing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Syntax-Aware Neural Semantic Role Labeling.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier.
IEEE Trans. Neural Networks Learn. Syst., 2018

Incorporating Statistical Machine Translation Word Knowledge Into Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Content-Oriented User Modeling for Personalized Response Ranking in Chatbots.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Linguistic Knowledge-Aware Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Adaptive non-negative projective semi-supervised learning for inductive classification.
Neural Networks, 2018

Alignment-consistent recursive neural networks for bilingual phrase embeddings.
Knowl. Based Syst., 2018

基于BiLSTM-CRF的关键词自动抽取 (Automatic Keyword Extraction Based on BiLSTM-CRF).
计算机科学, 2018

Learning better discourse representation for implicit discourse relation recognition via attention networks.
Neurocomputing, 2018

Deriving enhanced geographical representations via similarity-based spectral analysis: predicting colorectal cancer survival curves in Iowa.
Int. J. Data Min. Bioinform., 2018

Frame-Based Representation for Event Detection on Twitter.
IEICE Trans. Inf. Syst., 2018

Using Entity Relation to Improve Event Detection via Attention Mechanism.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Neural Question Generation with Semantics of Question Type.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Improving the Transformer Translation Model with Document-Level Context.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Using Active Learning to Expand Training Data for Implicit Discourse Relation Recognition.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Sentiment Classification towards Question-Answering with Hierarchical Matching Network.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

One vs. Many QA Matching with both Word-level and Sentence-level Attention Network.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Adaptive Weighting for Neural Machine Translation.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

NEWS 2018 Whitepaper.
Proceedings of the Seventh Named Entities Workshop, 2018

Report of NEWS 2018 Named Entity Transliteration Shared Task.
Proceedings of the Seventh Named Entities Workshop, 2018

Supervised Treebank Conversion: Data and Approaches.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Adversarial Learning for Chinese NER From Crowd Annotations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Improved English to Russian Translation by Neural Suffix Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

SEE: Syntax-Aware Entity Embedding for Neural Relation Extraction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Coupled POS Tagging on Heterogeneous Annotations.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Discriminative clustering on manifold for adaptive transductive classification.
Neural Networks, 2017

自纠正词对齐 (Self-correction of Word Alignments).
计算机科学, 2017

Privacy-Preserving Task Assignment in Spatial Crowdsourcing.
J. Comput. Sci. Technol., 2017

Crowd-Guided Entity Matching with Consolidated Textual Data.
J. Comput. Sci. Technol., 2017

Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information.
Comput. Intell., 2017

Dependency Parsing with Partial Annotations: An Empirical Comparison.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Semantic-frame representation for event detection on Twitter.
Proceedings of the 2017 International Conference on Asian Language Processing, 2017

Translating Phrases in Neural Machine Translation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Multi-Grained Chinese Word Segmentation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Machine Translation with Phrasal Attention.
Proceedings of the Machine Translation - 13th China Workshop, 2017

Modeling Source Syntax for Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Neural Machine Translation Advised by Statistical Machine Translation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Training Dependency Parsers with Partial Annotation.
CoRR, 2016

Exploiting meta features for dependency parsing and part-of-speech tagging.
Artif. Intell., 2016

Building Powerful Dependency Parsers for Resource-Poor Languages.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Word Segmentation on Micro-Blog Texts with External Lexicon and Heterogeneous Data.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Variational Neural Discourse Relation Recognizer.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Variational Neural Machine Translation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Finding Arguments as Sequence Labeling in Discourse Parsing.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, 2016

Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences.
Proceedings of the COLING 2016, 2016

Improving Statistical Machine Translation with Selectional Preferences.
Proceedings of the COLING 2016, 2016

Learning Event Expressions via Bilingual Structure Projection.
Proceedings of the COLING 2016, 2016

Distributed Representations for Building Profiles of Users and Items from Text Reviews.
Proceedings of the COLING 2016, 2016

Whitepaper of NEWS 2016 Shared Task on Machine Transliteration.
Proceedings of the Sixth Named Entity Workshop, 2016

Report of NEWS 2016 Machine Transliteration Shared Task.
Proceedings of the Sixth Named Entity Workshop, 2016

Active Learning for Dependency Parsing with Partial Annotation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Topic-Based Coherence Modeling for Statistical Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Distributed Feature Representations for Dependency Parsing.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Statistical word sense aware topic models.
Soft Comput., 2015

Backward and trigger-based language models for statistical machine translation.
Nat. Lang. Eng., 2015

Linear and Non-Linear Models for Purchase Prediction.
Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Learning bilingual distributed phrase represenations for statistical machine translation.
Proceedings of Machine Translation Summit XV: Papers, 2015

Design and implementation of face recognition system based on Windows.
Proceedings of the Seventh International Conference on Digital Image Processing, 2015

Refining parallel quality for machine translation.
Proceedings of the 2015 International Conference on Asian Language Processing, 2015

Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Document-Level Machine Translation Evaluation with Gist Consistency and Text Cohesion.
Proceedings of the Second Workshop on Discourse in Machine Translation, 2015

Whitepaper of NEWS 2015 Shared Task on Machine Transliteration.
Proceedings of the Fifth Named Entity Workshop, 2015

Report of NEWS 2015 Machine Transliteration Shared Task.
Proceedings of the Fifth Named Entity Workshop, 2015

A Context-Aware Topic Model for Statistical Machine Translation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Joint Optimization for Chinese POS Tagging and Dependency Parsing.
IEEE ACM Trans. Audio Speech Lang. Process., 2014

Bayesian Constituent Context Model for Grammar Induction.
IEEE ACM Trans. Audio Speech Lang. Process., 2014

Topic-Based Dissimilarity and Sensitivity Models for Translation Rule Selection.
J. Artif. Intell. Res., 2014

A Topic-Based Reordering Model for Statistical Machine Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2014

Soft Cross-lingual Syntax Projection for Dependency Parsing.
Proceedings of the COLING 2014, 2014

Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures.
Proceedings of the COLING 2014, 2014

Feature Embedding for Dependency Parsing.
Proceedings of the COLING 2014, 2014

Dependency Parsing: Past, Present, and Future.
Proceedings of the COLING 2014, 2014

Topic Models Incorporating Statistical Word Senses.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

Chinese-English SMT for cross-language dialogue agent support.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014

Semantics, Discourse and Statistical Machine Translation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

A Sense-Based Translation Model for Statistical Machine Translation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Improving Graph-Based Dependency Parsing Models With Dependency Language Models.
IEEE Trans. Speech Audio Process., 2013

Feature-Rich Segment-Based News Event Detection on Twitter.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Modeling Lexical Cohesion for Document-Level Machine Translation.
Proceedings of the IJCAI 2013, 2013

Smoothing for Bracketing Induction.
Proceedings of the IJCAI 2013, 2013

Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Semi-Supervised Feature Transformation for Dependency Parsing.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Chinese Terminology Extraction Using EM-Based Transfer Learning Method.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2013

Fast and Accurate Shift-Reduce Constituent Parsing.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

A Topic-Based Coherence Model for Statistical Machine Translation.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Bitext Dependency Parsing With Auto-Generated Bilingual Treebank.
IEEE Trans. Speech Audio Process., 2012

Improved Constituent Context Model with Features.
Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation, 2012

N-gram-based Tense Models for Statistical Machine Translation.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

A Separately Passive-Aggressive Training Algorithm for Joint POS Tagging and Dependency Parsing.
Proceedings of the COLING 2012, 2012

Improved Combinatory Categorial Grammar Induction with Boundary Words and Bayesian Inference.
Proceedings of the COLING 2012, 2012

Classifier-Based Tense Model for SMT.
Proceedings of the COLING 2012, 2012

Report of NEWS 2012 Machine Transliteration Shared Task.
Proceedings of the 4th Named Entity Workshop, 2012

Whitepaper of NEWS 2012 Shared Task on Machine Transliteration.
Proceedings of the 4th Named Entity Workshop, 2012

Modeling the Translation of Predicate-Argument Structure for SMT.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

A Topic Similarity Model for Hierarchical Phrase-based Translation.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Utilizing Dependency Language Models for Graph-based Dependency Parsing Models.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
A Maximum-Entropy Segmentation Model for Statistical Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2011

Joint Alignment and Artificial Data Generation: An Empirical Study of Pivot-based Machine Transliteration.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

CLGVSM: Adapting Generalized Vector Space Model to Cross-lingual Document Clustering.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Optimal Translation Boundaries for BTG-Based Decoding.
Proceedings of the International Conference on Asian Language Processing, 2011

Joint Models for Chinese POS Tagging and Dependency Parsing.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Cache-based Document-level Statistical Machine Translation.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

SMT Helps Bitext Dependency Parsing.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Report of NEWS 2011 Machine Transliteration Shared Task.
Proceedings of the 3rd Named Entities Workshop, 2011

Whitepaper of NEWS 2011 Shared Task on Machine Transliteration.
Proceedings of the 3rd Named Entities Workshop, 2011

Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Nonparametric Bayesian Machine Transliteration with Synchronous Adaptor Grammars.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Tree Sequence Kernel for Natural Language.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang (Chinese University of Hong Kong, Hong Kong Polytechnic University, City University of Hong Kong, and San Diego State University) Princeton, NJ: Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 4), 2010, x+148 pp; paperbound, ISBN 978-1-59829-932-8, $40.00; e-book, ISBN 978-1-59829-933-5, $30.00 or by subscription.
Comput. Linguistics, 2010

Linguistically Annotated Reordering: Evaluation and Analysis.
Comput. Linguistics, 2010

Learning Translation Boundaries for Phrase-Based Decoding.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

I<sup>2</sup>r's machine translation system for IWSLT 2010.
Proceedings of the 2010 International Workshop on Spoken Language Translation, 2010

Non-Isomorphic Forest Pair Translation.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Machine Transliteration: Leveraging on Third Languages.
Proceedings of the COLING 2010, 2010

Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data.
Proceedings of the COLING 2010, 2010

Improving Name Origin Recognition with Context Features and Unlabelled Data.
Proceedings of the COLING 2010, 2010

Head-modifier Relation based Non-lexical Reordering Model for Phrase-Based Translation.
Proceedings of the COLING 2010, 2010

EM-based Hybrid Model for Bilingual Terminology Extraction from Comparable Corpora.
Proceedings of the COLING 2010, 2010

Whitepaper of NEWS 2010 Shared Task on Transliteration Generation.
Proceedings of the 2010 Named Entities Workshop, 2010

Report of NEWS 2010 Transliteration Generation Shared Task.
Proceedings of the 2010 Named Entities Workshop, 2010

Convolution Kernel over Packed Parse Forest.
Proceedings of the ACL 2010, 2010

Error Detection for Statistical Machine Translation Using Linguistic Features.
Proceedings of the ACL 2010, 2010

Exploring Syntactic Structural Features for Sub-Tree Alignment Using Bilingual Tree Kernels.
Proceedings of the ACL 2010, 2010

Pseudo-Word for Phrase-Based Machine Translation.
Proceedings of the ACL 2010, 2010

2009
Two-Stage Hypotheses Generation for Spoken Language Translation.
ACM Trans. Asian Lang. Inf. Process., 2009

A Source Dependency Model for Statistical Machine Translation.
Proceedings of Machine Translation Summit XII: Posters, 2009

Efficient Beam Thresholding for Statistical Machine Translation.
Proceedings of Machine Translation Summit XII: Posters, 2009

I2R's machine translation system for IWSLT 2009.
Proceedings of the 6th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2009, 2009

I<sup>2</sup>r's machine translation system for IWSLT 2009.
Proceedings of the 2009 International Workshop on Spoken Language Translation, 2009

Semi-supervised Learning of Domain-Specific Language Models from General Domain Data.
Proceedings of the 2009 International Conference on Asian Language Processing, 2009

K-Best Combination of Syntactic Parsers.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Fast Translation Rule Matching for Syntax-based Statistical Machine Translation.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Tree Kernel-based SVM with Structured Syntactic Knowledge for BTG-based Phrase Reordering.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Feature-Based Method for Document Alignment in Comparable News Corpora.
Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

Whitepaper of NEWS 2009 Machine Transliteration Shared Task.
Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration, 2009

Report of NEWS 2009 Machine Transliteration Shared Task.
Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration, 2009

Forest-based Tree Sequence to String Translation Model.
Proceedings of the ACL 2009, 2009

A Syntax-Driven Bracketing Model for Phrase-Based Translation.
Proceedings of the ACL 2009, 2009

A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation.
Proceedings of the ACL 2009, 2009

MARS: Multilingual Access and Retrieval System with Enhanced Query Translation and Document Retrieval.
Proceedings of the ACL 2009, 2009

A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination.
Proceedings of the ACL 2009, 2009

2008
Semantic Role Labeling Using a Grammar-Driven Convolution Tree Kernel.
IEEE Trans. Speech Audio Process., 2008

Using a Hybrid Convolution Tree Kernel for Semantic Role Labeling.
ACM Trans. Asian Lang. Inf. Process., 2008

Hierarchical learning strategy in semantic relation extraction.
Inf. Process. Manag., 2008

Exploring syntactic structured features over parse trees for relation extraction using kernel methods.
Inf. Process. Manag., 2008

The TALP&I2r SMT systems for IWSLT 2008.
Proceedings of the 2008 International Workshop on Spoken Language Translation, 2008

I<sup>2</sup>r multi-pass machine translation system for IWSLT 2008.
Proceedings of the 2008 International Workshop on Spoken Language Translation, 2008

Name Origin Recognition Using Maximum Entropy Model and Diverse Features.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Refinements in BTG-based Statistical Machine Translation.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Term Extraction Through Unithood and Termhood Unification.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Fast Computing Grammar-driven Convolution Tree Kernel for Semantic Role Labeling.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Grammar Comparison Study for Translational Equivalence Modeling and Statistical Machine Translation.
Proceedings of the COLING 2008, 2008

Linguistically Annotated BTG for Statistical Machine Translation.
Proceedings of the COLING 2008, 2008

Regenerating Hypotheses for Statistical Machine Translation.
Proceedings of the COLING 2008, 2008

A Tree Sequence Alignment-based Tree-to-Tree Translation Model.
Proceedings of the ACL 2008, 2008

A Linguistically Annotated Reordering Model for BTG-based Statistical Machine Translation.
Proceedings of the ACL 2008, 2008

Exploiting N-best Hypotheses for SMT Self-Enhancement.
Proceedings of the ACL 2008, 2008

2007
Extracting relation information from text documents by exploring various types of knowledge.
Inf. Process. Manag., 2007

Building a Collocation Net.
Int. J. Comput. Process. Orient. Lang., 2007

A tree-to-tree alignment-based model for statistical machine translation.
Proceedings of Machine Translation Summit XI: Papers, 2007

I<sup>2</sup>r Chinese-English translation system for IWSLT 2007.
Proceedings of the 2007 International Workshop on Spoken Language Translation, 2007

Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information.
Proceedings of the EMNLP-CoNLL 2007, 2007

A Grammar-driven Convolution Tree Kernel for Semantic Role Classification.
Proceedings of the ACL 2007, 2007

2006
Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

A Unified Framework for Text Analysis in Chinese TTS.
Proceedings of the Chinese Spoken Language Processing, 5th International Symposium, 2006

Building a Collocation Net.
Proceedings of the Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead, 2006

A Hybrid Approach to Chinese Abbreviation Expansion.
Proceedings of the Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead, 2006

Hierarchical Learning Strategy in Relation Extraction Using Support Vector Machines.
Proceedings of the Information Retrieval Technology, 2006

Modeling Commonality among Related Classes in Relation Extraction.
Proceedings of the ACL 2006, 2006

A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features.
Proceedings of the ACL 2006, 2006

A Hybrid Convolution Tree Kernel for Semantic Role Labeling.
Proceedings of the ACL 2006, 2006

A Phrase-Based Statistical Model for SMS Text Normalization.
Proceedings of the ACL 2006, 2006

Chinese Word Segmentation and Named Entity Recognition Based on a Context-Dependent Mutual Information Independence Model.
Proceedings of the Fifth Workshop on Chinese Language Processing, 2006

2005
Learning Phrase Translation using Level of Detail Approach.
Proceedings of Machine Translation Summit X: Papers, 2005

Discovering Relations Between Named Entities from a Large Raw Corpus Using Tree Similarity-Based Clustering.
Proceedings of the Natural Language Processing, 2005

A Phrase-Based Context-Dependent Joint Probability Model for Named Entity Translation.
Proceedings of the Natural Language Processing, 2005

Phrase-Based Statistical Machine Translation: A Level of Detail Approach.
Proceedings of the Natural Language Processing, 2005

Exploring Various Knowledge in Relation Extraction.
Proceedings of the ACL 2005, 2005

2004
Direct Orthographical Mapping for Machine Transliteration.
Proceedings of the COLING 2004, 2004

A Joint Source-Channel Model for Machine Transliteration.
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2002
Equivalent node-based speech grammar optimization.
Proceedings of the 2002 International Symposium on Chinese Spoken Language Processing, 2002

2000
Semi-class-based N-gram Language Modeling for Chinese Dictation.
Proceedings of the 2000 International Symposium on Chinese Spoken Language Processing, 2000


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