Global-Local Modeling with Prompt-Based Knowledge Enhancement for Emotion Inference in Conversation. - Renxi Wang; Shi Feng (EACL (Findings), 2023)

Understanding the Instruction Mixture for Large Language Model Fine-tuning. - Renxi Wang; Minghao Wu; Yuxia Wang; Xudong Han; Chiyu Zhang; Haonan Li 002 (CoRR, 2023)

Demystifying Instruction Mixing for Fine-tuning Large Language Models. - Renxi Wang; Haonan Li 002; Minghao Wu; Yuxia Wang; Xudong Han; Chiyu Zhang; Timothy Baldwin (ACL (Student Research Workshop), 2024)

Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents. - Renxi Wang; Haonan Li 002; Xudong Han; Yixuan Zhang; Timothy Baldwin (CoRR, 2024)

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. - Haonan Li 002; Xudong Han; Zenan Zhai; Honglin Mu; Hao Wang; Zhenxuan Zhang; Yilin Geng; Shom Lin; Renxi Wang; Artem Shelmanov; Xiangyu Qi; Yuxia Wang; et al. (CoRR, 2024)

ToolGen: Unified Tool Retrieval and Calling via Generation. - Renxi Wang; Xudong Han; Lei Ji 001; Shu Wang 002; Timothy Baldwin; Haonan Li 002 (ICLR, 2025)

NAT: Enhancing Agent Tuning with Negative Samples. - Renxi Wang; Xudong Han; Yixuan Zhang; Timothy Baldwin; Haonan Li 002 (NAACL (Long Papers), 2025)

Explore the Reasoning Capability of LLMs in the Chess Testbed. - Shu Wang 002; Lei Ji 001; Renxi Wang; Wenxiao Zhao; Haokun Liu; Yifan Hou; Ying Nian Wu (NAACL (Short Papers), 2025)

Against The Achilles' Heel: A Survey on Red Teaming for Generative Models. - Lizhi Lin; Honglin Mu; Zenan Zhai; Minghan Wang; Yuxia Wang; Renxi Wang; Junjie Gao; Yixuan Zhang; Wanxiang Che; Timothy Baldwin; Xudong Han; Haonan Li 002 (J. Artif. Intell. Res., 2025)

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch. - Zhengzhong Liu 001; Bowen Tan; Hongyi Wang 001; Willie Neiswanger; Tianhua Tao; Haonan Li 002; Fajri Koto; Yuqi Wang; Suqi Sun; Omkar Pangarkar; Richard Fan; Yi Gu 002; et al. (CoRR, 2025)

SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning. - Renxi Wang; Honglin Mu; Liqun Ma; Lizhi Lin; Yunlong Feng; Timothy Baldwin; Xudong Han; Haonan Li 002 (CoRR, 2025)

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents. - Renxi Wang; Rifo Ahmad Genadi; Bilal El Bouardi; Yongxin Wang; Fajri Koto; Zhengzhong Liu 001; Timothy Baldwin; Haonan Li 002 (CoRR, 2025)

IsaMini: Redesigned Isabelle Proof Lanugage for Machine Learning. - Qiyuan Xu; Renxi Wang; Haonan Li; David Sanán; Conrad Watt (CoRR, 2025)