Zhuoran Jin
Final-year Ph.D student@Institute of Automation, Chinese Academy of Sciences
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:
- Agent & Environment: GymVerse, Agent-RewardBench
- Knowledgeable LLMs: Tug-of-War, PH3, RAG-RewardBench
- Multimodal LLMs: MMR-V, MMR-Life, MMR-VIP, Look Shallow, Think Deep
- AI Alignment: RWKU, RULE, Omni-Reward
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%). |
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| Sep 20, 2025 | One paper is accepted by NeurIPS 2025. |
| May 16, 2025 | Five paper are accepted by ACL 2025. |
Selected Publications
- arXiv
Look Shallow, Think Deep: What Multimodal Chain-of-Thought Reasoning Can and Cannot DoarXiv preprint (arXiv), 2025