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Yongbin Li

Capital Normal University, College of Life Sciences, Beijing, China

47 papers at tracked venues · 39 at CORE A* · active 2024–2026

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Venues

ACL ×29EMNLP ×6AAAI ×4NeurIPS ×3ICLR ×2NAACL ×2ICML ×1

Frequent coauthors

Hao Lang
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Yongqi Li
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Minzheng Wang
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Zhuoqun Li
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Run Luo
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Zhenhong Zhou
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Xinyu Lu
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Jia Li
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Feiteng Fang
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Guhong Chen
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Guibin Zhang
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Wenyuan Zhang
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Papers

  1. Act-Adaptive Margin: Dynamically Calibrating Reward Models for Subjective Ambiguity
    ACL 2026 ·
    Feiteng Fang
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  2. Beyond Quantity: Trajectory Diversity Scaling for Code Agents
    ACL 2026 ·
    Guhong Chen
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  3. Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions
    ACL 2026 ·
    Yongqi Li
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  4. EvoRoute: Experience-Driven Self-Routing LLM Agent Systems
    ACL 2026 ·
    Guibin Zhang
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  5. ExpSeek: Self-Triggered Experience Seeking for Web Agents
    ACL 2026 ·
    Wenyuan Zhang
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  6. Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format
    ACL 2026 ·
    Dingzirui Wang
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  7. Large Language Model Unlearning for Source Code
    AAAI 2026 ·
    Xue Jiang
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  8. MOA: Multi-Objective Alignment for Role-Playing Agents
    ACL 2026 ·
    Chonghua Liao
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  9. MemPO: Self-Memory Policy Optimization for Long-Horizon Agents
    ACL 2026 ·
    Ruoran Li
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  10. RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
    ACL 2026 ·
    Yihong Dong
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  11. Reasoning-Guided Exploration for Online DPO
    ACL 2026 ·
    Zetian Hu
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  12. Selective Weak-to-Strong Generalization
    AAAI 2026 ·
    Hao Lang
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  13. To Diff or Not to Diff? Structure-Aware and Adaptive Output Formats for Efficient LLM-based Code Editing
    ACL 2026 ·
    Wei Cheng
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  14. ToM-Synth: Scaling Robust Theory of Mind in LLMs via 6, 912 Structured Social Units
    ACL 2026 ·
    Guiyang Hou
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  15. Understanding Generalization in Role-Playing Models via Information Theory
    ACL 2026 ·
    Yongqi Li
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  16. CPO: Addressing Reward Ambiguity in Role-playing Dialogue via Comparative Policy Optimization
    EMNLP 2025 ·
    Jing Ye
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  17. DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
    ACL 2025 ·
    Minzheng Wang
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  18. Debate Helps Weak-to-Strong Generalization
    AAAI 2025 ·
    Hao Lang
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  19. DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking
    ACL 2025 ·
    Zhuoqun Li
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  20. EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models
    EMNLP 2025 ·
    Tao Zou
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  21. EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning
    ACL 2025 ·
    Xiaoqian Liu
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  22. ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration
    ACL 2025 ·
    Yunkun Wang
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  23. IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization
    ACL 2025 ·
    Xinghua Zhang
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  24. MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
    ACL 2025 ·
    Run Luo
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  25. OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction
    ACL 2025 ·
    Haonan Zhang
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  26. On the Role of Attention Heads in Large Language Model Safety
    ICLR 2025 ·
    Zhenhong Zhou
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  27. OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis
    NeurIPS 2025 ·
    Run Luo
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  28. Reverse Preference Optimization for Complex Instruction Following
    ACL 2025 ·
    Xiang Huang
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  29. SDPO: Segment-Level Direct Preference Optimization for Social Agents
    ACL 2025 ·
    Aobo Kong
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  30. StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
    ICLR 2025 ·
    Zhuoqun Li
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  31. Supervised Optimism Correction: Be Confident When LLMs Are Sure
    ACL 2025 ·
    Junjie Zhang
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  32. Transferable Post-training via Inverse Value Learning
    NAACL 2025 ·
    Xinyu Lu
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  33. DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
    ACL 2024 ·
    Jia Li
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  34. EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
    NeurIPS 2024 ·
    Jia Li
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  35. Fine-Tuning Language Models with Reward Learning on Policy
    NAACL 2024 ·
    Hao Lang
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  36. FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents
    EMNLP 2024 ·
    Ruixuan Xiao
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  37. Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use
    ACL 2024 ·
    Yuhan Chen
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  38. How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States
    EMNLP 2024 ·
    Zhenhong Zhou
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  39. Improving Factual Consistency of News Summarization by Contrastive Preference Optimization
    EMNLP 2024 ·
    Huawen Feng
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  40. Iterative Forward Tuning Boosts In-Context Learning in Language Models
    ACL 2024 ·
    Jiaxi Yang
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  41. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
    ICML 2024 ·
    Le Yu
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  42. Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
    EMNLP 2024 ·
    Minzheng Wang
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  43. Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
    ACL 2024 ·
    Changyu Chen
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  44. One-Shot Learning as Instruction Data Prospector for Large Language Models
    ACL 2024 ·
    Yunshui Li
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  45. Preference Ranking Optimization for Human Alignment
    AAAI 2024 ·
    Feifan Song
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  46. Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
    NeurIPS 2024 ·
    Qiaoyu Tang
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  47. SoFA: Shielded On-the-fly Alignment via Priority Rule Following
    ACL 2024 ·
    Xinyu Lu
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