Chuxue Cao

👋 Hi! I am a second-year PhD student at the Hong Kong University of Science and Technology, advised by Prof. Sirui Han and Prof. Yike Guo. My research focuses on AI safety & alignment and formal reasoning.👋 哈喽!我是香港科技大学的二年级博士生,师从韩斯睿教授郭毅可教授。我的研究方向为大模型安全对齐(LLM Safety & Alignment)与形式化推理(Formal Reasoning)。

🔍 Research🔍 研究方向

I study how language models can reason more reliably and safely. My work connects natural language reasoning with formal logic verification, aiming to build agentic post-training frameworks and benchmarks that push LLMs toward stronger logical reasoning and safe alignment.我主要研究大模型如何进行更可靠、安全的推理。我的工作将自然语言推理与形式化逻辑验证相结合,致力于后训练框架和安全评测基准,推动大模型向更可靠的逻辑推理与安全对齐发展。

🌟 Selected Publications🌟 代表性论文

Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification in Language Models teaser ICML 2026

Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification in Language Models [Paper]

Chuxue Cao*, Jinluan Yang*, Haoran Li, Kunhao Pan, Zijian Zhao, Zhengyu Chen, Yuchen Tian, Lijun Wu, Conghui He, Sirui Han✉, Yike Guo✉

A formal logic verification-guided framework that interleaves symbolic feedback with natural language generation for stronger LLM reasoning.

Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training teaser Technical Report, Shanghai AI Lab

Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training [Paper]

Chuxue Cao, Honglin Lin, Zhanping Zhong, Xin Gao, Mengzhang Cai, Conghui He, Sirui Han✉, Lijun Wu✉

A study on data distillation and difficulty-aware data selection for financial LLMs.

Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving teaser EMNLP 2025

Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving [Paper]

Chuxue Cao*, Mengze Li*, Juntao Dai, Jinluan Yang, Zijian Zhao, Shengyu Zhang, Weijie Shi, Chengzhong Liu, Sirui Han✉, Yike Guo✉

Towards advanced mathematical reasoning through first-order logic theorem proving.

SafeLawBench: Towards Safe Alignment of Large Language Models teaser ACL Findings 2025

SafeLawBench: Towards Safe Alignment of Large Language Models [Paper]

Chuxue Cao*, Han Zhu*, Jiaming Ji, Qichao Sun, Zhenghao Zhu, Yinyu Wu, Juntao Dai, Yaodong Yang, Sirui Han✉, Yike Guo✉

A legal-perspective benchmark for safe alignment of large language models.

📝 Conference Papers📝 会议论文

  • From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms [Paper]
    Jinghao Luo, Yuchen Tian, Chuxue Cao, Ziyang Luo, Hongzhan Lin, Kaixin Li, Chuyi Kong, Ruichao Yang, Jing Ma
    ACL Findings, 2026
  • ScholarGPT: Fine-tuning Large Language Models for Discipline-Specific Academic Paper Writing [Paper]
    Chuxue Cao, Ziqing Yuan, Hailiang Chen
    Pacific-Asia Conference on Information Systems (PACIS), 2024
  • Medical Scene Graphs and Reasoning [Paper]
    Chuxue Cao, Yiming He, Yuzhen Chen, Chunli Song, Hao Ling, Renchu Guan, Xiaoyue Feng
    IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021

🚀 Preprints🚀 预印本

  • LRAS: Advanced Legal Reasoning with Agentic Search [Paper]
    Yujin Zhou*, Chuxue Cao*, Jinluan Yang*, Lijun Wu, Conghui He, Sirui Han✉, Yike Guo✉
    arXiv, 2026
  • Trustworthy Legal Reasoning: A Comprehensive Survey [Paper]
    Sirui Han, Zhizhuo Kou, Ruoxi Li, Yuyao Zhang, Yujin Zhou, Chuxue Cao, Han Zhu, Kunhao Pan, Haoran Li, Conghui He, Haitian Lu, Yike Guo
    Preprints, 2026
  • MedInsightBench: Evaluating Medical Analytics Agents Through Multi-Step Insight Discovery in Multimodal Medical Data [Paper]
    Zhenghao Zhu, Chuxue Cao, Sirui Han, Yuanfeng Song, Xing Chen, Caleb Chen Cao, Yike Guo
    arXiv, 2025
  • Measuring Hong Kong Massive Multi-Task Language Understanding [Paper]
    Chuxue Cao*, Zhenghao Zhu*, Junqi Zhu, Guoying Lu, Siyu Peng, Juntao Dai, Weijie Shi, Sirui Han✉, Yike Guo✉
    arXiv, 2025

🎓 Education🎓 教育背景

September 2024 - Now2024年9月 - 至今
Hong Kong University of Science and Technology香港科技大学
PhD student, Supervisors: Prof. Sirui Han, Prof. Yike Guo博士生,导师:韩斯睿教授、郭毅可教授
Division of Emerging Interdisciplinary Areas, Academy of Interdisciplinary Studies跨学科综合学院 新兴跨学科领域学部
September 2022 - January 20242022年9月 - 2024年1月
The University of Hong Kong香港大学
Master's Degree硕士
MSc Artificial Intelligence, Faculty of Science理学院 人工智能理学硕士
September 2018 - July 20222018年9月 - 2022年7月
Jilin University吉林大学
Bachelor's Degree (Honours), Supervisors: Prof. Renchu Guan, Prof. Xiaoyue Feng学士 (荣誉学位),导师:管仁初教授、丰小月教授
Software Engineering (Pilot class), College of Software Engineering软件学院 软件工程(实验班)

💼 Experience💼 工作经历

October 2025 - February 20262025年10月 - 2026年2月
Shanghai Artificial Intelligence Laboratory上海人工智能实验室
Research Intern, Mentor: Lijun Wu研究实习生,导师:吴郦军
OpenDataLab, OpenDataArena
September 2023 - August 20242023年9月 - 2024年8月
The University of Hong Kong香港大学
Research Assistant, Supervisor: Prof. Hailiang Chen研究助理,导师:陈海亮教授

📬 Contact📬 联系我

I’m always open to discussing research-related topics. Feel free to reach me at 欢迎交流~📮ccaoai@connect.ust.hk.