by xingyaoww · Agent Tool · ★ 133
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Zihan Wang*, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng and Heng Ji.
| Stars | 133 |
| Forks | 8 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 33.3/100 |
| Last Updated | 2024-06-04 |
| Created | 2023-09-18 |
| Platforms | python |
| Est. Tokens | ~4821k |
Explore other popular agent tool tools:
mint-bench is Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Zihan Wang*, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng and Hen. It is categorized as a Agent Tool with 133 GitHub stars.
mint-bench is primarily written in Python.
You can find installation instructions and usage details in the mint-bench GitHub repository at github.com/xingyaoww/mint-bench. The project has 133 stars and 8 forks, indicating an active community.
mint-bench is released under the Apache-2.0 license, making it free to use and modify according to the license terms.