Zhuoran Jin

Final-year Ph.D student@Institute of Automation, Chinese Academy of Sciences

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I am a final-year Ph.D. student at the Natural Language Processing and Knowledge Engineering Group (NLPKE), Institute of Automation, Chinese Academy of Sciences (CASIA). I am fortunate to be advised by Prof. Jun Zhao. Before that, I obtained my B.E. degree in Software Engineering from Northeastern University (NEU) in 2021. My research interests include natural language processing, large language models, and knowledge engineering. I have published over 30 papers at top-tier conferences, including NeurIPS, ICLR, ACL, AAAI, EMNLP, NAACL, and COLING, among others. My research aims to advance intelligent agent systems by making them knowledgeable, multimodal, controllable, and grounded in real-world environments. Ultimately, I envision agent–environment systems that can continuously learn and evolve through interaction and feedback. Recently, my work focuses on the following directions:

If you are interested in my work or want to collaborate, feel free to contact me via: zhuoran.jin[at]nlpr[dot]ia[dot]ac.cn.

诚挚欢迎对大模型与智能体方向感兴趣、并有志于提升科研能力的同学交流探讨,期待一起开展有影响力的高质量研究。

News

Mar 18, 2026 Four papers are accepted by ICLR 2026, including one selected as an Oral presentation (1.1%).
Sep 20, 2025 One paper is accepted by NeurIPS 2025.
May 16, 2025 Five paper are accepted by ACL 2025.

Selected Publications

  1. ICLR Oral
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    Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
    Zhuoran Jin*, Hongbang Yuan*, Kejian Zhu*, Jiachun Li, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao
    In International Conference on Learning Representations (ICLR Oral) , 2026
  2. ICLR
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    MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning
    Jiachun Li, Shaoping Huang, Zhuoran Jin, Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao
    In International Conference on Learning Representations (ICLR) , 2026
  3. ICLR
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    MMR-V: What’s Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos
    Kejian Zhu, Zhuoran Jin, Hongbang Yuan, Jiachun Li, Shangqing Tu, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao
    In International Conference on Learning Representations (ICLR) , 2026
  4. ICLR
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    Fixing the Broken Compass: Diagnosing and Improving Inference-Time Reward Modeling
    Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, and Jun Zhao
    In International Conference on Learning Representations (ICLR) , 2026
  5. NeurIPS
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    RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality
    Chenlong Zhang, Zhuoran Jin, Hongbang Yuan, Jiaheng Wei, Tong Zhou, Kang Liu, Jun Zhao, and Yubo Chen
    In Annual Conference on Neural Information Processing Systems (NeurIPS) , 2025
  6. arXiv
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    Look Shallow, Think Deep: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
    Zhuoran Jin*, Kejian Zhu*, Hongbang Yuan, Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao
    arXiv preprint (arXiv), 2025
  7. ACL Findings
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    RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
    Zhuoran Jin, Hongbang Yuan, Tianyi Men, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao
    In Annual Meeting of the Association for Computational Linguistics (ACL Findings) , 2025
  8. AAAI
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    Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
    Hongbang Yuan*Zhuoran Jin*, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao
    In Annual AAAI Conference on Artificial Intelligence (AAAI) , 2025
  9. NeurIPS
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    RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
    Zhuoran Jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, and Jun Zhao
    In Annual Conference on Neural Information Processing Systems (NeurIPS) , 2024
  10. ACL Findings
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    Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
    Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, and Jun Zhao
    In Annual Meeting of the Association for Computational Linguistics (ACL Findings) , 2024
  11. COLING
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    Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
    Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, and Jun Zhao
    In International Conference on Computational Linguistics (COLING) , 2024
  12. EMNLP Findings
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    InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models
    Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao
    In Conference on Empirical Methods in Natural Language Processing (EMNLP Findings) , 2023