Bing Qin
Orcid: 0000-0002-2543-5604Affiliations:
- Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
- Harbin Institute of Technology, Department of Computer Science, China (PhD 2005)
According to our database1,
Bing Qin
authored at least 417 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
CoRR, August, 2025
Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner.
CoRR, July, 2025
IEEE Trans. Knowl. Data Eng., June, 2025
IEEE Trans. Big Data, June, 2025
CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models.
CoRR, June, 2025
Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement.
CoRR, June, 2025
Com<sup>2</sup>: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models.
CoRR, June, 2025
Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations.
CoRR, June, 2025
CoRR, May, 2025
Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning.
CoRR, May, 2025
CoRR, May, 2025
How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation.
CoRR, May, 2025
Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing.
CoRR, May, 2025
Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment.
CoRR, May, 2025
When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners.
CoRR, May, 2025
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection.
CoRR, May, 2025
IEEE Trans. Knowl. Data Eng., April, 2025
Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models.
CoRR, April, 2025
CoRR, April, 2025
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.
ACM Trans. Inf. Syst., March, 2025
Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities.
CoRR, March, 2025
Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter.
CoRR, March, 2025
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems.
CoRR, March, 2025
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese.
ACM Trans. Knowl. Discov. Data, February, 2025
Exploring & exploiting high-order graph structure for sparse knowledge graph completion.
Frontiers Comput. Sci., February, 2025
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications.
CoRR, February, 2025
CoRR, February, 2025
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering.
CoRR, February, 2025
CoRR, January, 2025
Think straight or think again? Continual joint learning of deduction, abduction and induction.
Neural Networks, 2025
Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Bridging Neural and Symbolic Reasoning: A Dual-System Framework for Interpretable Question Answering.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Towards Faithful Multi-step Reasoning through Fine-Grained Causal-aware Attribution Reasoning Distillation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
MACSA: A multimodal aspect-category sentiment analysis dataset with multimodal fine-grained aligned annotations.
Multim. Tools Appl., October, 2024
Int. J. Mach. Learn. Cybern., September, 2024
Knowl. Inf. Syst., September, 2024
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty?
Mach. Intell. Res., April, 2024
IEEE Trans. Multim., 2024
Adapter-Based Selective Knowledge Distillation for Federated Multi-Domain Meeting Summarization.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis.
IEEE Trans. Affect. Comput., 2024
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement.
Neural Networks, 2024
Knowl. Based Syst., 2024
A multi-task framework based on decomposition for multimodal named entity recognition.
Neurocomputing, 2024
VEM<sup>2</sup>L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion.
Data Min. Knowl. Discov., 2024
XTransplant: A Probe into the Upper Bound Performance of Multilingual Capability and Culture Adaptability in LLMs via Mutual Cross-lingual Feed-forward Transplantation.
CoRR, 2024
From Specific-MLLM to Omni-MLLM: A Survey about the MLLMs alligned with Multi-Modality.
CoRR, 2024
CoRR, 2024
Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning.
CoRR, 2024
CoRR, 2024
Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads.
CoRR, 2024
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.
CoRR, 2024
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning.
CoRR, 2024
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views.
CoRR, 2024
CoRR, 2024
RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models.
CoRR, 2024
MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability.
CoRR, 2024
Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching.
CoRR, 2024
CoRR, 2024
Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration.
CoRR, 2024
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.
CoRR, 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider Transformer Models.
CoRR, 2024
Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning.
CoRR, 2024
Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models.
CoRR, 2024
Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis.
CoRR, 2024
CoRR, 2024
DAPT: A Dual Attention Framework for Parameter-Efficient Continual Learning of Large Language Models.
CoRR, 2024
Proceedings of the Ninth Conference on Machine Translation, 2024
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion.
Proceedings of the Natural Language Processing and Chinese Computing, 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 14th IEEE International Symposium on Chinese Spoken Language Processing, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024
Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Aligning Translation-Specific Understanding to General Understanding in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Scale-CoT: Integrating LLM with Psychiatric Scales for Analyzing Mental Health Issues on Social Media.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A speaker-aware multiparty dialogue discourse parser with heterogeneous graph neural network.
Cogn. Syst. Res., June, 2023
Int. J. Mach. Learn. Cybern., May, 2023
Length Extrapolation of Transformers: A Survey from the Perspective of Position Encoding.
CoRR, 2023
CoRR, 2023
Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak.
CoRR, 2023
Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications.
CoRR, 2023
The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature.
CoRR, 2023
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese.
CoRR, 2023
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue.
CoRR, 2023
Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion.
CoRR, 2023
SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models.
CoRR, 2023
CoRR, 2023
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate.
CoRR, 2023
CoRR, 2023
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning.
CoRR, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023
An End-to-End Transformer with Progressive Tri-Modal Attention for Multi-modal Emotion Recognition.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the Natural Language Processing and Chinese Computing, 2023
Proceedings of the Natural Language Processing and Chinese Computing, 2023
Improving Conversational Aspect-Based Sentiment Quadruple Analysis with Overall Modeling.
Proceedings of the Natural Language Processing and Chinese Computing, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Bioinform., November, 2022
Structural and Textual Information Fusion for Symptom and Disease Representation Learning.
IEEE Trans. Knowl. Data Eng., 2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022
Learning to share by masking the non-shared for multi-domain sentiment classification.
Int. J. Mach. Learn. Cybern., 2022
Int. J. Mach. Learn. Cybern., 2022
Enhancing pretrained language models with structured commonsense knowledge for textual inference.
Knowl. Based Syst., 2022
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning.
CoRR, 2022
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.
CoRR, 2022
CoRR, 2022
BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations.
CoRR, 2022
An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition.
CoRR, 2022
Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Composition.
CoRR, 2022
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty?
CoRR, 2022
CoRR, 2022
VEM<sup>2</sup>L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion.
CoRR, 2022
MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations.
CoRR, 2022
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation.
CoRR, 2022
OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation.
CoRR, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Leveraging Multi-modal Interactions among the Intermediate Representations of Deep Transformers for Emotion Recognition.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
MuCDN: Mutual Conversational Detachment Network for Emotion Recognition in Multi-Party Conversations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, 2022
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Int. J. Mach. Learn. Cybern., 2021
IEEE Multim., 2021
Frontiers Comput. Sci., 2021
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision.
CoRR, 2021
CoRR, 2021
Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification.
CoRR, 2021
Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process.
Sci. China Inf. Sci., 2021
An Aspect-Centralized Graph Convolutional Network for Aspect-Based Sentiment Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2021
Proceedings of the Natural Language Processing and Chinese Computing, 2021
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension.
Proceedings of the International Joint Conference on Neural Networks, 2021
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks.
Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021
A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
IEEE ACM Trans. Audio Speech Lang. Process., 2020
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020
Enhanced Neural Machine Translation by Joint Decoding with Word and POS-tagging Sequences.
Mob. Networks Appl., 2020
Frontiers Comput. Sci., 2020
Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization.
CoRR, 2020
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks.
CoRR, 2020
CoRR, 2020
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
Proceedings of the Natural Language Processing and Chinese Computing, 2020
Proceedings of the Natural Language Processing and Chinese Computing, 2020
Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Int. J. High Perform. Comput. Netw., 2019
Int. J. Comput. Sci. Eng., 2019
An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension.
CoRR, 2019
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements.
CoRR, 2019
Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes.
CoRR, 2019
Proceedings of the Natural Language Processing and Chinese Computing, 2019
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time).
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Sci. China Inf. Sci., 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018
CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Neurocomputing, 2017
Encoding syntactic representations with a neural network for sentiment collocation extraction.
Sci. China Inf. Sci., 2017
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Proceedings of the Social Media Processing - 6th National Conference, 2017
Proceedings of the Natural Language Processing and Chinese Computing, 2017
ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017
Proceedings of the Information Retrieval - 23rd China conference, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
IEEE Trans. Knowl. Data Eng., 2016
Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog.
Multim. Tools Appl., 2016
Multim. Tools Appl., 2016
Frontiers Comput. Sci., 2016
Encoding Dependency Representation with Convolutional Neural Network for Target-Polarity Word Collocation Extraction.
Proceedings of the Social Media Processing - 5th National Conference, 2016
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Proceedings of the COLING 2016, 2016
Proceedings of the COLING 2016, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
2015
WIREs Data Mining Knowl. Discov., 2015
A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2015
IEEE ACM Trans. Audio Speech Lang. Process., 2015
Frontiers Inf. Technol. Electron. Eng., 2015
IEEE Intell. Syst., 2015
Proceedings of the Social Media Processing - 4th National Conference, 2015
What Causes Different Emotion Distributions of a Hot Event? A Deep Event-Emotion Analysis System on Microblogs.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2015
Encoding Distributional Semantics into Triple-Based Knowledge Ranking for Document Enrichment.
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
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification.
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
Frontiers Comput. Sci., 2014
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014
Proceedings of the Natural Language Processing and Chinese Computing, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
Proceedings of the COLING 2014, 2014
Proceedings of the COLING 2014, 2014
Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach.
Proceedings of the COLING 2014, 2014
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2013
CoRR, 2013
Proceedings of the Natural Language Processing and Chinese Computing, 2013
Proceedings of the Natural Language Processing and Information Systems, 2013
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
2012
A novel approach to update summarization using evolutionary manifold-ranking and spectral clustering.
Expert Syst. Appl., 2012
Proceedings of the Fifth Text Analysis Conference, 2012
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012
2011
Appraisal Expression Recognition with Syntactic Path for Sentence Sentiment Classification.
Int. J. Comput. Process. Orient. Lang., 2011
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011
2010
Informatica (Slovenia), 2010
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010
2009
Comput. Inf. Sci., 2009
Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task, 2009
2008
J. Chin. Lang. Comput., 2008
HITIR's Update Summary at TAC 2008: Extractive Content Selection for Language Independence.
Proceedings of the First Text Analysis Conference, 2008
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008
2007
J. Chin. Lang. Comput., 2007