Xuming Hu

Orcid: 0000-0001-6075-4224

Affiliations:

Hong Kong University of Science and Technology Guangzhou (HKUST-GZ), Guangzhou, China
Hong Kong University of Science and Technology (HKUST), Tai Po Tsai, Hong Kong
Tsinghua University, School of Software, Beijing, China (PhD )

According to our database¹, Xuming Hu authored at least 156 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models.

[BibT_eX]

[DOI]

CoRR, August, 2025

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning.

[BibT_eX]

[DOI]

CoRR, August, 2025

WakenLLM: Evaluating Reasoning Potential and Stability in LLMs via Fine-Grained Benchmarking.

[BibT_eX]

[DOI]

CoRR, July, 2025

VLA-Mark: A cross modal watermark for large vision-language alignment model.

[BibT_eX]

[DOI]

CoRR, July, 2025

A Survey of AIOps in the Era of Large Language Models.

[BibT_eX]

[DOI]

CoRR, July, 2025

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models.

[BibT_eX]

[DOI]

CoRR, July, 2025

Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding.

[BibT_eX]

[DOI]

CoRR, June, 2025

Video Signature: In-generation Watermarking for Latent Video Diffusion Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

WaterVG: Waterway Visual Grounding Based on Text-Guided Vision and mmWave Radar.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., May, 2025

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities.

[BibT_eX]

[DOI]

CoRR, May, 2025

Compliance-to-Code: Enhancing Financial Compliance Checking via Code Generation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Shifting AI Efficiency From Model-Centric to Data-Centric Compression.

[BibT_eX]

[DOI]

CoRR, May, 2025

LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning.

[BibT_eX]

[DOI]

CoRR, May, 2025

MLLMs are Deeply Affected by Modality Bias.

[BibT_eX]

[DOI]

CoRR, May, 2025

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs?

[BibT_eX]

[DOI]

CoRR, May, 2025

PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions.

[BibT_eX]

[DOI]

CoRR, May, 2025

RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection.

[BibT_eX]

[DOI]

CoRR, May, 2025

FlowKV: Enhancing Multi-Turn Conversational Coherence in LLMs via Isolated Key-Value Cache Management.

[BibT_eX]

[DOI]

CoRR, May, 2025

SSR: Speculative Parallel Scaling Reasoning in Test-time.

[BibT_eX]

[DOI]

CoRR, May, 2025

UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs.

[BibT_eX]

[DOI]

CoRR, May, 2025

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis.

[BibT_eX]

[DOI]

CoRR, May, 2025

Building a Stable Planner: An Extended Finite State Machine Based Planning Module for Mobile GUI Agent.

[BibT_eX]

[DOI]

CoRR, May, 2025

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring.

[BibT_eX]

[DOI]

CoRR, May, 2025

Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?

[BibT_eX]

[DOI]

CoRR, May, 2025

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization.

[BibT_eX]

[DOI]

CoRR, May, 2025

RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video.

[BibT_eX]

[DOI]

CoRR, May, 2025

TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering.

[BibT_eX]

[DOI]

CoRR, April, 2025

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality.

[BibT_eX]

[DOI]

CoRR, April, 2025

VideoMark: A Distortion-Free Robust Watermarking Framework for Video Diffusion Models.

[BibT_eX]

[DOI]

CoRR, April, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

[BibT_eX]

[DOI]

CoRR, April, 2025

MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection.

[BibT_eX]

[DOI]

CoRR, March, 2025

Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook.

[BibT_eX]

[DOI]

CoRR, March, 2025

LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching.

[BibT_eX]

[DOI]

CoRR, March, 2025

LLM Agents for Education: Advances and Applications.

[BibT_eX]

[DOI]

CoRR, March, 2025

OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, March, 2025

MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, March, 2025

Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking.

[BibT_eX]

[DOI]

CoRR, March, 2025

A Survey of Text Watermarking in the Era of Large Language Models.

[BibT_eX]

[DOI]

ACM Comput. Surv., February, 2025

HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge.

[BibT_eX]

[DOI]

CoRR, February, 2025

Understanding Dynamic Diffusion Process of LLM-based Agents under Information Asymmetry.

[BibT_eX]

[DOI]

CoRR, February, 2025

EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning.

[BibT_eX]

[DOI]

CoRR, February, 2025

Can LLMs Maintain Fundamental Abilities under KV Cache Compression?

[BibT_eX]

[DOI]

CoRR, February, 2025

RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, February, 2025

OneForecast: A Universal Framework for Global and Regional Weather Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2025

ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference.

[BibT_eX]

[DOI]

CoRR, February, 2025

Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free.

[BibT_eX]

[DOI]

CoRR, January, 2025

<i>HyperG: </i> Hypergraph-Enhanced LLMs for Structured Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

DiscoverGPT: Multi-task Fine-tuning Large Language Model for Related Table Discovery.

[BibT_eX]

[DOI]

Xuming Hu

Xiao Qin

Chuan Lei

Asterios Katsifodimos

Zhengyuan Shen

Balasubramaniam Srinivasan

Huzefa Rangwala

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes.

[BibT_eX]

[DOI]

Xuming Hu

Chuan Lei

Xiao Qin

Asterios Katsifodimos

Christos Faloutsos

Huzefa Rangwala

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Can Watermarked LLMs be Identified by Users via Crafted Prompts?

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

UltraWiki: Ultra-Fine-Grained Entity Set Expansion with Negative Seed Entities.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation.

[BibT_eX]

[DOI]

Sisuo Lyu

Xiuze Zhou

Xuming Hu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Dataset Distillation with Neural Characteristic Function: A Minmax Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models.

[BibT_eX]

[DOI]

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

EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?

[BibT_eX]

[DOI]

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

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis.

[BibT_eX]

[DOI]

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

MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Unlocking Speech Instruction Data Potential with Query Rewriting.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning.

[BibT_eX]

[DOI]

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

2024

Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2024

Graph Neural Network with curriculum learning for imbalanced node classification.

[BibT_eX]

[DOI]

Neurocomputing, March, 2024

Accelerating Diffusion Transformers with Dual Feature Caching.

[BibT_eX]

[DOI]

CoRR, 2024

MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection.

[BibT_eX]

[DOI]

CoRR, 2024

Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability.

[BibT_eX]

[DOI]

Xiangsen Chen

Xuming Hu

Nan Tang

CoRR, 2024

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.

[BibT_eX]

[DOI]

CoRR, 2024

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.

[BibT_eX]

[DOI]

CoRR, 2024

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models.

[BibT_eX]

[DOI]

CoRR, 2024

NeuGPT: Unified multi-modal Neural GPT.

[BibT_eX]

[DOI]

CoRR, 2024

MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.

[BibT_eX]

[DOI]

CoRR, 2024

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Interpretable Contrastive Monte Carlo Tree Search Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

DRUPI: Dataset Reduction Using Privileged Information.

[BibT_eX]

[DOI]

CoRR, 2024

Reasoning Factual Knowledge in Structured Data with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

LLaSA: Large Language and E-Commerce Shopping Assistant.

[BibT_eX]

[DOI]

CoRR, 2024

Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of AIOps for Failure Management in the Era of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

MarkLLM: An Open-Source Toolkit for LLM Watermarking.

[BibT_eX]

[DOI]

CoRR, 2024

WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar.

[BibT_eX]

[DOI]

CoRR, 2024

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions.

[BibT_eX]

[DOI]

CoRR, 2024

UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities.

[BibT_eX]

[DOI]

CoRR, 2024

Unraveling Babel: Exploring Multilingual Activation Patterns within Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction.

[BibT_eX]

[DOI]

CoRR, 2024

When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Preventing and Detecting Misinformation Generated by Large Language Models.

[BibT_eX]

[DOI]

Aiwei Liu

Qiang Sheng

Xuming Hu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Semantic Invariant Robust Watermark for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Unforgeable Publicly Verifiable Watermark for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Understanding Factual Knowledge of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LongGenBench: Long-context Generation Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Natural Language Interfaces for Data Visualization: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., June, 2023

A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Survey of Text Watermarking in the Era of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

[BibT_eX]

[DOI]

CoRR, 2023

Do Large Language Models Know about Facts?

[BibT_eX]

[DOI]

CoRR, 2023

A Private Watermark for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Give Me More Details: Improving Fact-Checking with Latent Retrieval.

[BibT_eX]

[DOI]

CoRR, 2023

A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability.

[BibT_eX]

[DOI]

CoRR, 2023

Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multimodal Named Entity Recognition and Relation Extraction with Retrieval-Augmented Strategy.

[BibT_eX]

[DOI]

Xuming Hu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

AMR-based Network for Aspect-based Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Automatic Table Union Search with Tabular Representation Learning.

[BibT_eX]

[DOI]

Asterios Katsifodimos

George Karypis

Lijie Wen

Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Graph Component Contrastive Learning for Concept Relatedness Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2022

Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction.

[BibT_eX]

[DOI]

CoRR, 2022

EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Neural Network with Curriculum Learning for Imbalanced Node Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Inferring Commonsense Explanations as Prompts for Future Event Generation.

[BibT_eX]

[DOI]

CoRR, 2022

What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking.

[BibT_eX]