R-Search-7b-ppo

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning

<p align="center"> 🤗 <a href="https://huggingface.co/datasets/qingfei1/R-Search_datasets" target="_blank">[R-Search Datasets] </a> • 💻 <a href="https://github.com/QingFei1/R-Search" target="_blank">[Github Repo]</a> </p>

R-Search is a novel reinforcement learning framework for reasoning–search integration. It enables LLMs to autonomously perform multi-step reasoning with deep search interaction, and to learn optimal reasoning–search trajectories via multi-reward signals, substantially improving performance on complex logic- and knowledge-intensive tasks.

Trained Models

We open-sourced the following models trained only on the 2wikimultihopqa training set: