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Renxi Wang
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2020 – today
- 2025
- [j1]Lizhi Lin, Honglin Mu, Zenan Zhai, Minghan Wang, Yuxia Wang, Renxi Wang, Junjie Gao, Yixuan Zhang, Wanxiang Che, Timothy Baldwin, Xudong Han, Haonan Li:
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models. J. Artif. Intell. Res. 82: 687-775 (2025) - 2024
- [c2]Renxi Wang, Haonan Li, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Timothy Baldwin:
Demystifying Instruction Mixing for Fine-tuning Large Language Models. ACL (Student Research Workshop) 2024: 162-169 - [i6]Renxi Wang, Haonan Li, Xudong Han, Yixuan Zhang, Timothy Baldwin:
Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents. CoRR abs/2402.11651 (2024) - [i5]Lizhi Lin, Honglin Mu, Zenan Zhai, Minghan Wang, Yuxia Wang, Renxi Wang, Junjie Gao, Yixuan Zhang, Wanxiang Che, Timothy Baldwin, Xudong Han, Haonan Li:
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models. CoRR abs/2404.00629 (2024) - [i4]Renxi Wang, Xudong Han, Lei Ji, Shu Wang, Timothy Baldwin, Haonan Li:
ToolGen: Unified Tool Retrieval and Calling via Generation. CoRR abs/2410.03439 (2024) - [i3]Shu Wang, Lei Ji, Renxi Wang, Wenxiao Zhao, Haokun Liu, Yifan Hou, Ying Nian Wu:
Explore the Reasoning Capability of LLMs in the Chess Testbed. CoRR abs/2411.06655 (2024) - [i2]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, Tatsuki Kuribayashi, Cong Zeng, 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:
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. CoRR abs/2412.18551 (2024) - 2023
- [c1]Renxi Wang, Shi Feng:
Global-Local Modeling with Prompt-Based Knowledge Enhancement for Emotion Inference in Conversation. EACL (Findings) 2023: 2075-2082 - [i1]Renxi Wang, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Haonan Li:
Understanding the Instruction Mixture for Large Language Model Fine-tuning. CoRR abs/2312.10793 (2023)
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