Xuming Hu

Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design ACL 2026 Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models AAAI 2026 DualScope: Capturing Critical Spatial and Temporal Cues for Distracted Driving Activity Recognition AAAI 2026 Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning AAAI 2026 Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering ACL 2026 Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods ACL 2026 PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions EMNLP 2025 Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? EMNLP 2025 DeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword Extraction EMNLP 2025 OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation ICCV 2025 UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models ACL 2025 Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? ACL 2025 Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis ACL 2025 Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning ACL 2025 MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection ACL 2025 Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction ACL 2025 Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models ACL 2025 EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models ACL 2025 MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models ACL 2025 StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models ACL 2025 Unlocking Speech Instruction Data Potential with Query Rewriting ACL 2025 A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges ACL 2025 SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning ACL 2025 Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models ACL 2025 A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models ACL 2025 Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models ICML 2025 RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning ICML 2025 Dataset Distillation with Neural Characteristic Function: A Minmax Perspective CVPR 2025 ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models CVPR 2025 OneForecast: A Universal Framework for Global and Regional Weather Forecasting ICML 2025 Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers ICLR 2025 Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality ICLR 2025 Can Watermarked LLMs be Identified by Users via Crafted Prompts? ICLR 2025 LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching ICCV 2025 Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization ICCV 2025 PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes NAACL 2025 Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis EMNLP 2025 DiscoverGPT: Multi-task Fine-tuning Large Language Model for Related Table Discovery NAACL 2025 Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios EMNLP 2025 Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation EMNLP 2025 Internal Chain-of-Thought: Empirical Evidence for Layer‐wise Subtask Scheduling in LLMs EMNLP 2025 VLA-Mark: A cross modal watermark for large vision-language alignment models EMNLP 2025 LLM Agents for Education: Advances and Applications EMNLP 2025 When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models NIPS 2024 Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network AAAI 2024 LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments ACL 2024 Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions ACL 2024 On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations ACL 2024 MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model EMNLP 2024 Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications EMNLP 2024 MarkLLM: An Open-Source Toolkit for LLM Watermarking EMNLP 2024 LongGenBench: Long-context Generation Benchmark EMNLP 2024 Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities EMNLP 2024 Towards Understanding Factual Knowledge of Large Language Models ICLR 2024 An Unforgeable Publicly Verifiable Watermark for Large Language Models ICLR 2024 A Semantic Invariant Robust Watermark for Large Language Models ICLR 2024 Mind’s Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models NAACL 2024 Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis ACL 2023 Graph Component Contrastive Learning for Concept Relatedness Estimation AAAI 2023 GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks ACL 2023 Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks ACL 2023 Automatic Table Union Search with Tabular Representation Learning ACL 2023 Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer ACL 2023 RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction EMNLP 2023 Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing ACL 2023 AMR-based Network for Aspect-based Sentiment Analysis ACL 2023 Query-based Instance Discrimination Network for Relational Triple Extraction EMNLP 2022 Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution EMNLP 2022 Domain-Specific NER via Retrieving Correlated Samples COLING 2022 CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking NAACL 2022 HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction NAACL 2022 Scene Graph Modification as Incremental Structure Expanding COLING 2022 Semi-supervised Relation Extraction via Incremental Meta Self-Training EMNLP 2021 Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction EMNLP 2021 SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction EMNLP 2020