Hongyu Lin

Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models EACL 2026 ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models ACL 2026 PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing ACL 2026 All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG ACL 2026 AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing AAAI 2026 Does Question Really Matter? The Attribution of Answer Bias in LLM Evaluation AAAI 2026 Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration EACL 2026 ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers ICCV 2025 DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation AAAI 2025 DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking ACL 2025 Sparse Latents Steer Retrieval-Augmented Generation ACL 2025 ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search ACL 2025 Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch ACL 2025 CRUXEVAL-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution ACL 2025 Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning ACL 2025 AutoAlign: Get Your LLM Aligned with Minimal Annotations ACL 2025 Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic ACL 2025 On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation ACL 2025 The Linguistic Connectivities Within Large Language Models ACL 2025 Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models ACL 2025 ShortGPT: Layers in Large Language Models are More Redundant Than You Expect ACL 2025 READoc: A Unified Benchmark for Realistic Document Structured Extraction ACL 2025 Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching COLING 2025 Improved Sparse Upcycling for Instruction Tuning COLING 2025 Teach Small Models to Reason by Curriculum Distillation EMNLP 2025 ConsistentChat: Building Skeleton-Guided Consistent Multi-Turn Dialogues for Large Language Models from Scratch EMNLP 2025 PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides EMNLP 2025 RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing EMNLP 2025 StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization ICLR 2025 Large Language Models Often Say One Thing and Do Another ICLR 2025 The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model ICLR 2025 Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? ICLR 2025 Transferable Post-training via Inverse Value Learning NAACL 2025 Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation EMNLP 2024 Seg2Act: Global Context-aware Action Generation for Document Logical Structuring EMNLP 2024 Few-shot Named Entity Recognition via Superposition Concept Discrimination COLING 2024 Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models COLING 2024 Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models COLING 2024 SoFA: Shielded On-the-fly Alignment via Priority Rule Following ACL 2024 Base of RoPE Bounds Context Length NIPS 2024 Self-Retrieval: End-to-End Information Retrieval with One Large Language Model NIPS 2024 Benchmarking Large Language Models in Retrieval-Augmented Generation AAAI 2024 Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting AAAI 2024 Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering EMNLP 2024 Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations ACL 2024 XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification ACL 2024 Spiral of Silence: How is Large Language Model Killing Information Retrieval?—A Case Study on Open Domain Question Answering ACL 2024 REInstruct: Building Instruction Data from Unlabeled Corpus ACL 2024 Learning or Self-aligning? Rethinking Instruction Fine-tuning ACL 2024 Open Grounded Planning: Challenges and Benchmark Construction ACL 2024 Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models? ACL 2024 StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation ACL 2024 Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning COLING 2024 ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models COLING 2024 Executing Natural Language-Described Algorithms with Large Language Models: An Investigation COLING 2024 Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models? EMNLP 2023 Contrastive Distant Supervision for Debiased and Denoised Machine Reading Comprehension EMNLP 2023 Toward Unified Controllable Text Generation via Regular Expression Instruction AACL 2023 Dialogue Rewriting via Skeleton-Guided Generation AAAI 2023 Universal Information Extraction as Unified Semantic Matching AAAI 2023 Toward Unified Controllable Text Generation via Regular Expression Instruction IJCNLP 2023 WebDP: Understanding Discourse Structures in Semi-Structured Web Documents ACL 2023 Ambiguous Learning from Retrieval: Towards Zero-shot Semantic Parsing ACL 2023 Learning In-context Learning for Named Entity Recognition ACL 2023 Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View ACL 2022 Procedural Text Understanding via Scene-Wise Evolution AAAI 2022 Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction IJCAI 2022 ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis NAACL 2022 ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis SEMEVAL 2022 Few-shot Named Entity Recognition with Self-describing Networks ACL 2022 Unified Structure Generation for Universal Information Extraction ACL 2022 Pre-training to Match for Unified Low-shot Relation Extraction ACL 2022 ECO v1: Towards Event-Centric Opinion Mining ACL 2022 Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases IJCNLP 2021 From Discourse to Narrative: Knowledge Projection for Event Relation Extraction ACL 2021 Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases ACL 2021 Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction ACL 2021 Element Intervention for Open Relation Extraction ACL 2021 De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention ACL 2021 From Discourse to Narrative: Knowledge Projection for Event Relation Extraction IJCNLP 2021 De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention IJCNLP 2021 Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model AAAI 2021 Element Intervention for Open Relation Extraction IJCNLP 2021 Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction IJCNLP 2021 Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention EMNLP 2021 Fine-grained Entity Typing via Label Reasoning EMNLP 2021 A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land? EMNLP 2020 ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling SEMEVAL 2020 Syntactic and Semantic-driven Learning for Open Information Extraction EMNLP 2020 ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling COLING 2020 Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks ACL 2019 Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning ACL 2019 Cost-sensitive Regularization for Label Confusion-aware Event Detection ACL 2019 Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition EMNLP 2019 Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition IJCNLP 2019 Nugget Proposal Networks for Chinese Event Detection ACL 2018 Adaptive Scaling for Sparse Detection in Information Extraction ACL 2018 Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension EMNLP 2017 A Context-Aware Topic Model for Statistical Machine Translation ACL 2015 A Context-Aware Topic Model for Statistical Machine Translation IJCNLP 2015