About this document
StepTool: Reinforcement Learning for LLMs by Nguyễn Dương is a document available to read on EtoBox.
The document presents StepTool, a step-grained reinforcement learning framework designed to enhance the multi-step tool usage capabilities of large language models (LLMs). It introduces two key components: Step-grained Reward Shaping, which provides nuanced rewards for tool interactions, and Step-grained Optimization, which employs policy gradient methods for improved decision-making. Experimental results demonstrate that StepTool outperforms existing methods, highlighting its effectiveness in enabling LLMs
- Author
- Nguyễn Dương
- Language
- EN