Yuhao Zhou

Venues

Frequent coauthors

Papers

1. AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress
   WWW 2026 ·

   Zhiheng Xi

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2. FlowSearch: Advancing Deep Research with Dynamic Structured Knowledge Flow
   ACL 2026 ·

   Yusong Hu

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

   Jiahang Lin

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4. MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs
   ACL 2026 ·

   Xiangyu Zhao

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5. Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
   AAAI 2026 ·

   Mingqi Wu

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6. What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study
   AAAI 2026 ·

   Xiaoran Fan

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7. Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning
   EMNLP 2025 ·

   Senjie Jin

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8. Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning
   NeurIPS 2025 · Yuhao Zhou
9. Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning
   EMNLP 2024 ·

   Lu Chen

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

    Rui Zheng

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11. LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
    ACL 2024 ·

    Shihan Dou

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12. Reward Modeling Requires Automatic Adjustment Based on Data Quality
    EMNLP 2024 ·

    Binghai Wang

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13. StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback
    ACL 2024 ·

    Shihan Dou

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14. Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
    ICML 2024 ·

    Zhiheng Xi

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