Peking University
I am a Ph.D. student at the Academy for Advanced Interdisciplinary Studies, Peking University, supervised by Prof. Yang Bai. Previously, I earned my Master's degree from the School of Software and Microelectronics, Peking University, advised by Prof. Yunfang Wu, and my Bachelor's degree from Dalian University of Technology. I'm also collaborating with Dr. Huiyuan Xie and Prof. Zhiyuan Liu from Tsinghua University.
Research Interests: My research explores how intelligent agents can model complex systems.
- 🤖Reinforcement Learning for Agents: Improving agent capabilities through better reward construction.
- 🦠Agentic World Models for Life Sciences: Modeling and simulating the metabolic behavior of Microbial communities.
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Peking University, AAISPh.D. StudentSep. 2026 - Present -
Peking University, SSMM.S. StudentSep. 2022 - Jul. 2025
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Dalian University of Technology, SSB.S. StudentSep. 2017 - Jul. 2021
Experience
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Tsinghua University, THUNLPResearch InternNov. 2024 - Present -
Shanghai AI LaboratoryResearch InternApr. 2025 - Present -
Tsinghua University, AIRResearch AssistantJuly. 2025 - July. 2026
News
Selected Publications (view all )
LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases
Yida Cai, Ranjuexiao Hu, Huiyuan Xie#, Chenyang Li, Yun Liu, Yuxiao Ye, Zhenghao Liu, Weixing Shen, Zhiyuan Liu# (# corresponding author)
ACL2026 CCF-A
In this work, we firstly introduce a comprehensive schema, which contains a hierarchical taxonomy and definitions of arguments, for AI systems to capture legal relations in Chinese civil cases. Based on this schema, we formulate a legal relation extraction task and present LexRel, an expertannotated benchmark for legal relation extraction in the Chinese civil law domain.
LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases
Yida Cai, Ranjuexiao Hu, Huiyuan Xie#, Chenyang Li, Yun Liu, Yuxiao Ye, Zhenghao Liu, Weixing Shen, Zhiyuan Liu# (# corresponding author)
ACL2026 CCF-A
In this work, we firstly introduce a comprehensive schema, which contains a hierarchical taxonomy and definitions of arguments, for AI systems to capture legal relations in Chinese civil cases. Based on this schema, we formulate a legal relation extraction task and present LexRel, an expertannotated benchmark for legal relation extraction in the Chinese civil law domain.
Unleashing large language models’ proficiency in zero-shot essay scoring
Sanwoo Lee*, Yida Cai*, Desong Meng, Ziyang Wang, Yunfang Wu# (* equal contribution, # corresponding author)
EMNLP2024 CCF-B
In this paper, we show that our zero-shot prompting framework, Multi Trait Specialization (MTS), elicits LLMs’ ample potential for essay scoring.
Unleashing large language models’ proficiency in zero-shot essay scoring
Sanwoo Lee*, Yida Cai*, Desong Meng, Ziyang Wang, Yunfang Wu# (* equal contribution, # corresponding author)
EMNLP2024 CCF-B
In this paper, we show that our zero-shot prompting framework, Multi Trait Specialization (MTS), elicits LLMs’ ample potential for essay scoring.