Shihan Dou

Venues

Frequent coauthors

Papers

1. Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
   ACL 2026 ·

   Changhao Jiang

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2. DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data
   ACL 2026 ·

   Shaofan Liu

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3. Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization
   ACL 2026 ·

   Junzhe Wang

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4. From Scores to Preferences: Redefining Evaluation Paradigm for Speech Quality Reward Modeling
   ACL 2026 ·

   Yifei Cao

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5. JanusMM: A Benchmark for Self-Deprecation Understanding in Real-World Multimodal Conversations
   ACL 2026 ·

   Xinyi Xu

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6. LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
   ACL 2026 ·

   Ming Zhang

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7. MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning
   ACL 2026 ·

   Jiahang Lin

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8. MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning
   AAAI 2026 ·

   Zhiheng Xi

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9. Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control
   ACL 2026 ·

   Changhao Jiang

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10. OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding
    ACL 2026 ·

    Deming Ding

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11. PRISM: Probabilistic Reward Model with Inherent Structural Modeling
    ACL 2026 ·

    Yuhang Zhou

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12. VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training
    ACL 2026 ·

    Dingwei Zhu

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13. Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
    AAAI 2025 · Shihan Dou
14. DocFusion: A Unified Framework for Document Parsing Tasks
    ACL 2025 ·

    Mingxu Chai

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15. EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
    NeurIPS 2025 · Shihan Dou
16. Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety
    EMNLP 2025 ·

    Chenhao Huang

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17. LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation
    EMNLP 2025 ·

    Ming Zhang

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18. Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling
    ACL 2025 · Shihan Dou
19. Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric
    ACL 2025 ·

    Yuming Yang

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20. Multi-Programming Language Sandbox for LLMs
    ACL 2025 · Shihan Dou
21. PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
    ACL 2025 ·

    Ming Zhang

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22. Pre-Trained Policy Discriminators are General Reward Models
    NeurIPS 2025 · Shihan Dou
23. RMB: Comprehensively benchmarking reward models in LLM alignment
    ICLR 2025 ·

    Enyu Zhou

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24. UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation
    EMNLP 2025 ·

    Tianlong Li

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25. Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
    ICLR 2024 ·

    Rui Zheng

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26. Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback
    ICML 2024 ·

    Songyang Gao

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27. LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
    ACL 2024 · Shihan Dou
28. StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback
    ACL 2024 · Shihan Dou
29. Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
    ICML 2024 ·

    Zhiheng Xi

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30. TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
    EMNLP 2024 ·

    Ming Zhang

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