JoeYing/ReTool-SFT
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs In this work, we embrace the RL paradigm and introduce ReTool, a Tool-augmented Reinforcement learning framework explicitly designed to guide LLMs towards optimal strategies for leveraging external computational tools during reasoning. Our comprehensive experiments on AIME2024 and AIME2025 demonstrate that ReTool not only achieves superior accuracy compared to conventional text-based RL approaches, but also converges… See the full description on the dataset page: https://huggingface.co/datasets/JoeYing/ReTool-SFT.
| Author / organization | JoeYing |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 180 (as reported by Hugging Face) |
| Likes | 57 |
| Created | 16 April 2025 |
| Last updated at source | 29 April 2025 |
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- 16 Oct 2026 Description: ReTool: Reinforcement Learning for Strategic Tool Use in LLMs In this work, we embrace the RL paradigm and introduce ReTool, a Tool-augmented Reinforcement learning framework explicitly designed to guide LLMs towards optimal strategies for → ReTool: Reinforcement Learning for Strategic Tool Use in LLMs In this work, we embrace the RL paradigm and introduce ReTool, a Tool-augmented Reinforcement learning framework explicitly designed to guide LLMs towards optimal strategies for
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