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2020 – today
- 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- [i4]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) - [i3]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) - [i2]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) - 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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