Dawei Yin

MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching ACL 2026 Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning AAAI 2026 Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning AAAI 2026 Efficient Thought Space Exploration Through Strategic Intervention AAAI 2026 AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization AAAI 2026 An Efficient Framework for Whole-Page Reranking via Single-Modal Supervision ACL 2026 Reinforced Efficient Reasoning via Semantically Diverse Exploration ACL 2026 ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability ACL 2026 DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search ACL 2026 Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization ACL 2025 Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models ACL 2025 From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions ICLR 2025 PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization NAACL 2025 Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering ICML 2025 Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation EMNLP 2025 TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning EMNLP 2025 MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization ICLR 2025 Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation EMNLP 2025 CoRanking: Collaborative Ranking with Small and Large Ranking Agents EMNLP 2025 Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization CVPR 2025 Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models ACL 2025 LLMs + Persona-Plug = Personalized LLMs ACL 2025 The Mirage of Model Editing: Revisiting Evaluation in the Wild ACL 2025 Enhancing Retrieval-Augmented Generation via Evidence Tree Search ACL 2025 Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation ACL 2025 Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation ACL 2025 RACQC: Advanced Retrieval-Augmented Generation for Chinese Query Correction EMNLP 2025 CTR-Guided Generative Query Suggestion in Conversational Search EMNLP 2025 Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking EMNLP 2025 Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization EMNLP 2025 Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards EMNLP 2025 Proactive Guidance of Multi-Turn Conversation in Industrial Search ACL 2025 Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation AAAI 2025 InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct AAAI 2025 UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle NAACL 2024 G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models NIPS 2024 Cross-model Control: Improving Multiple Large Language Models in One-time Training NIPS 2024 Exploring Memorization in Fine-tuned Language Models ACL 2024 The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ACL 2024 The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse ACL 2024 Improving the Robustness of Large Language Models via Consistency Alignment COLING 2024 Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning ECCV 2024 AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning EMNLP 2024 Towards Verifiable Text Generation with Evolving Memory and Self-Reflection EMNLP 2024 ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024 MAIR: A Massive Benchmark for Evaluating Instructed Retrieval EMNLP 2024 KnowTuning: Knowledge-aware Fine-tuning for Large Language Models EMNLP 2024 GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation EMNLP 2024 The Fall of ROME: Understanding the Collapse of LLMs in Model Editing EMNLP 2024 Learning to Use Tools via Cooperative and Interactive Agents EMNLP 2024 Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification ICML 2024 GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract) IJCAI 2024 MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract) IJCAI 2024 VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization NAACL 2024 MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion NAACL 2024 Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method NAACL 2024 A Robust Semantics-based Watermark for Large Language Model against Paraphrasing NAACL 2024 Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL 2023 Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking NIPS 2023 Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents EMNLP 2023 DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment EMNLP 2023 Boosting Event Extraction with Denoised Structure-to-Text Augmentation ACL 2023 Feature-Level Debiased Natural Language Understanding AAAI 2023 Learning to Tokenize for Generative Retrieval NIPS 2023 Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task COLING 2022 On Length Divergence Bias in Textual Matching Models ACL 2022 A Large Scale Search Dataset for Unbiased Learning to Rank NIPS 2022 PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation EMNLP 2022 Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation AAAI 2020 Exemplar Guided Neural Dialogue Generation IJCAI 2020 Modeling Topical Relevance for Multi-Turn Dialogue Generation IJCAI 2020 Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network AAAI 2020 Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight ACL 2020 Attribute-aware Sequence Network for Review Summarization IJCNLP 2019 Adaptive Parameterization for Neural Dialogue Generation IJCNLP 2019 Semi-supervised User Profiling with Heterogeneous Graph Attention Networks IJCAI 2019 Adaptive Parameterization for Neural Dialogue Generation EMNLP 2019 Attribute-aware Sequence Network for Review Summarization EMNLP 2019 Spectral Clustering in Heterogeneous Information Networks AAAI 2019 Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures ACL 2018 Knowledge Diffusion for Neural Dialogue Generation ACL 2018 Learning Tag Dependencies for Sequence Tagging IJCAI 2018 Timeline Summarization from Social Media with Life Cycle Models IJCAI 2016 Consistent Collective Matrix Completion under Joint Low Rank Structure AISTATS 2015 Convex Collective Matrix Factorization AISTATS 2013