Xu Han

CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented Reasoning ACL 2026 CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis AAAI 2026 EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization AAAI 2026 AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage ACL 2026 CPT-Agent: A Cognitive Process Theory-driven Framework for Student Simulation in Writing Development ACL 2026 APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention ACL 2026 Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning AAAI 2026 ArcLight: A Lightweight LLM Inference Architecture for Many-Core CPUs ACL 2026 LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models ACL 2025 TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators ACL 2025 Cognitive Mirroring for DocRE: A Self-Supervised Iterative Reflection Framework with Triplet-Centric Explicit and Implicit Feedback ACL 2025 Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation CVPR 2025 SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds CVPR 2025 AutoClean: LLMs Can Prepare Their Training Corpus NAACL 2025 Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training NAACL 2025 Multi-Modal Multi-Granularity Tokenizer for Chu Bamboo Slips COLING 2025 Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning MICCAI 2025 ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models COLING 2025 RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis MICCAI 2025 Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching MICCAI 2025 PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans MICCAI 2025 PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-staging Classification with Epstein-Barr Virus DNA MICCAI 2025 MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising MICCAI 2025 Sparsing Law: Towards Large Language Models with Greater Activation Sparsity ICML 2025 WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting ICML 2025 VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents ICLR 2025 Progressive Compositionality in Text-to-Image Generative Models ICLR 2025 Divergence-enhanced Knowledge-guided Context Optimization for Visual-Language Prompt Tuning ICLR 2025 HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss ICCV 2025 DeepNote: Note-Centric Deep Retrieval-Augmented Generation EMNLP 2025 PATIMT-Bench: A Multi-Scenario Benchmark for Position-Aware Text Image Machine Translation in Large Vision-Language Models EMNLP 2025 KBAlign: Efficient Self Adaptation on Specific Textual Knowledge Bases EMNLP 2025 CMHG: A Dataset and Benchmark for Headline Generation of Minority Languages in China EMNLP 2025 More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding AAAI 2025 Cost-Optimal Grouped-Query Attention for Long-Context Modeling EMNLP 2025 MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning CVPR 2025 FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling ACL 2025 RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework ACL 2025 APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs ACL 2025 Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource Languages ACL 2025 MUCH: A Multimodal Corpus Construction for Conversational Humor Recognition Based on Chinese Sitcom COLING 2024 Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NIPS 2024 OneBit: Towards Extremely Low-bit Large Language Models NIPS 2024 InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory NIPS 2024 patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds AAAI 2024 MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models AAAI 2024 OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems ACL 2024 MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation ACL 2024 FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection ACL 2024 UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset ACL 2024 LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks ACL 2024 ∞Bench: Extending Long Context Evaluation Beyond 100K Tokens ACL 2024 UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs ACL 2024 Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis ACL 2024 MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization ACL 2024 Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training COLING 2024 High-Order Semantic Alignment for Unsupervised Fine-Grained Image-Text Retrieval COLING 2024 Robust and Scalable Model Editing for Large Language Models COLING 2024 V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception ECCV 2024 Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models EMNLP 2024 Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding EMNLP 2024 Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents EMNLP 2024 Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models EMNLP 2024 Training-free Multi-objective Diffusion Model for 3D Molecule Generation ICLR 2024 Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages ICLR 2024 ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning ICLR 2024 Predicting Emergent Abilities with Infinite Resolution Evaluation ICLR 2024 CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables ICML 2024 Exploring the Benefit of Activation Sparsity in Pre-training ICML 2024 LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning MICCAI 2024 Chinese Metaphorical Relation Extraction EMNLP 2023 Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules EMNLP 2023 Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023 H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training NIPS 2023 Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning ACL 2023 Recyclable Tuning for Continual Pre-training ACL 2023 WebCPM: Interactive Web Search for Chinese Long-form Question Answering ACL 2023 Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation JMLR 2023 Plug-and-Play Knowledge Injection for Pre-trained Language Models ACL 2023 Plug-and-Play Document Modules for Pre-trained Models ACL 2023 Emergent Modularity in Pre-trained Transformers ACL 2023 Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling ICML 2023 PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer ACL 2023 Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model NIPS 2023 GACT: Activation Compressed Training for Generic Network Architectures ICML 2022 Exploring Mode Connectivity for Pre-trained Language Models EMNLP 2022 Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages ACL 2022 BMCook: A Task-agnostic Compression Toolkit for Big Models EMNLP 2022 Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning EMNLP 2022 Prompt-learning for Fine-grained Entity Typing EMNLP 2022 Knowledge Inheritance for Pre-trained Language Models NAACL 2022 Predicting Physics in Mesh-reduced Space with Temporal Attention ICLR 2022 MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction EMNLP 2022 BMInf: An Efficient Toolkit for Big Model Inference and Tuning ACL 2022 PPT: Pre-trained Prompt Tuning for Few-shot Learning ACL 2022 Fully Hyperbolic Neural Networks ACL 2022 Visual Distant Supervision for Scene Graph Generation ICCV 2021 Local Temperature Scaling for Probability Calibration ICCV 2021 Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference IJCAI 2021 CLEVE: Contrastive Pre-training for Event Extraction ACL 2021 Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction ACL 2021 Adversarial Language Games for Advanced Natural Language Intelligence AAAI 2021 GAN Ensemble for Anomaly Detection AAAI 2021 Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021 Few-NERD: A Few-shot Named Entity Recognition Dataset ACL 2021 Open Hierarchical Relation Extraction NAACL 2021 Few-NERD: A Few-shot Named Entity Recognition Dataset IJCNLP 2021 CLEVE: Contrastive Pre-training for Event Extraction IJCNLP 2021 Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction IJCNLP 2021 Meta-Information Guided Meta-Learning for Few-Shot Relation Classification COLING 2020 MAVEN: A Massive General Domain Event Detection Dataset EMNLP 2020 Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020 Denoising Relation Extraction from Document-level Distant Supervision EMNLP 2020 Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph EMNLP 2020 IsOBS: An Information System for Oracle Bone Script EMNLP 2020 Collecting Verified COVID-19 Question Answer Pairs EMNLP 2020 More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction AACL 2020 Neural Gibbs Sampling for Joint Event Argument Extraction AACL 2020 Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training AAAI 2020 Neural Snowball for Few-Shot Relation Learning AAAI 2020 Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020 OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction IJCNLP 2019 HMEAE: Hierarchical Modular Event Argument Extraction IJCNLP 2019 Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations IJCNLP 2019 Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data IJCNLP 2019 GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification ACL 2019 Networks for Joint Affine and Non-Parametric Image Registration CVPR 2019 HMEAE: Hierarchical Modular Event Argument Extraction EMNLP 2019 OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction EMNLP 2019 FewRel 2.0: Towards More Challenging Few-Shot Relation Classification EMNLP 2019 Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data EMNLP 2019 FewRel 2.0: Towards More Challenging Few-Shot Relation Classification IJCNLP 2019 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019 Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations EMNLP 2019 Quantifying Similarity between Relations with Fact Distribution ACL 2019 ERNIE: Enhanced Language Representation with Informative Entities ACL 2019 DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction ACL 2019 Adversarial Training for Weakly Supervised Event Detection NAACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset ACL 2019 FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation EMNLP 2018 Adversarial Multi-lingual Neural Relation Extraction COLING 2018 Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention EMNLP 2018 Complementary Binary Quantization for Joint Multiple Indexing IJCAI 2018 OpenKE: An Open Toolkit for Knowledge Embedding EMNLP 2018 Put It Back: Entity Typing with Language Model Enhancement EMNLP 2018 UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015 SEMEVAL 2015