AgentBench: Evaluating LLMs as Agents
Xiao Liu , Hao Yu , Hanchen Zhang , Yifan Xu , Xuanyu Lei , Hanyu Lai , Yu Gu , Hangliang Ding , Kaiwen Men , Kejuan Yang , Shudan Zhang , Xiang Deng , Aohan Zeng , Zhengxiao Du , Chenhui Zhang , Sheng Shen , Tianjun Zhang , Yu Su , Huan Sun , Minlie Huang , Yuxiao Dong , Jie Tang
- 🏛 Institutions
- Tsinghua University , The Ohio State University , ByteDance
- 📅 Date
- January 1, 2024
- 📑 Publisher
- ICLR 2024
- 💻 Env
- 🔑 Keywords
TLDR
Introduces AgentBench, a broad benchmark suite for evaluating LLMs as agents across eight environments, including but not limited to OS interaction. It belongs in this repo mainly as a general agent-evaluation reference rather than a pure GUI benchmark.
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