Renxi Wang

According to our database, Renxi Wang authored at least 16 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SimuScene: Training and Benchmarking Code Generation to Simulate Physical Scenarios.

Yanan Wang, Renxi Wang, Yongxin Wang, Xuezhi Liang, Fajri Koto, Timothy Baldwin, Xiaodan Liang, Haonan Li

CoRR, February, 2026

Neural Theorem Proving for Verification Conditions: A Real-World Benchmark.

Qiyuan Xu, Xiaokun Luan, Renxi Wang, Joshua Ong Jun Leang, Peixin Wang, Haonan Li, Wenda Li, Conrad Watt

CoRR, January, 2026

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

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Concise Reasoning in the Lens of Lagrangian Optimization.

Chengqian Gao, Haonan Li, Taylor W. Killian, Jianshu She, Renxi Wang, Liqun Ma, Zhoujun Cheng, Shibo Hao, Zhiqiang Xu

CoRR, October, 2025

IsaMini: Redesigned Isabelle Proof Lanugage for Machine Learning.

Qiyuan Xu, Renxi Wang, Haonan Li, David Sanán, Conrad Watt

CoRR, July, 2025

AgentFly: Extensible and Scalable Reinforcement Learning for LM Agents.

Renxi Wang, Rifo Ahmad Genadi, Bilal El Bouardi, Yongxin Wang, Fajri Koto, Zhengzhong Liu, Timothy Baldwin, Haonan Li

CoRR, July, 2025

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch.

Zhengzhong Liu, Bowen Tan, Hongyi Wang, Willie Neiswanger, Tianhua Tao, Haonan Li, Fajri Koto, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Liqun Ma, Liping Tang, Nikhil Ranjan, Yonghao Zhuang, Guowei He, Renxi Wang, Mingkai Deng, Robin Algayres, Yuanzhi Li, Zhiqiang Shen, Preslav Nakov, Eric P. Xing

CoRR, January, 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

J. Artif. Intell. Res., 2025

Explore the Reasoning Capability of LLMs in the Chess Testbed.

Shu Wang, Lei Ji, Renxi Wang, Wenxiao Zhao, Haokun Liu, Yifan Hou, Ying Nian Wu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

NAT: Enhancing Agent Tuning with Negative Samples.

Renxi Wang, Xudong Han, Yixuan Zhang, Timothy Baldwin, Haonan Li

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability.

Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Cong Zeng, Tatsuki Kuribayashi, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ToolGen: Unified Tool Retrieval and Calling via Generation.

Renxi Wang, Xudong Han, Lei Ji, Shu Wang, Timothy Baldwin, Haonan Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents.

Renxi Wang, Haonan Li, Xudong Han, Yixuan Zhang, Timothy Baldwin

CoRR, 2024

Demystifying Instruction Mixing for Fine-tuning Large Language Models.

Renxi Wang, Haonan Li, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Timothy Baldwin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2024

2023

Understanding the Instruction Mixture for Large Language Model Fine-tuning.

Renxi Wang, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Haonan Li

CoRR, 2023

Global-Local Modeling with Prompt-Based Knowledge Enhancement for Emotion Inference in Conversation.

Renxi Wang, Shi Feng

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023