---
license: mit
title: DeepRetrieval
emoji: 🚀
colorTo: purple
pinned: true
short_description: Hacking Real Search Engines and Retrievers!
sdk: static
---
# DeepRetrieval
## Overview

DeepRetrieval is a novel approach that uses reinforcement learning (RL) to train Large Language Models (LLMs) for query generation without requiring supervised data. Instead of relying on expensive human-annotated or distilled reference queries, DeepRetrieval enables LLMs to learn through direct trial and error, using retrieval metrics as rewards.
## Key Features

- **No Supervision Required**: Eliminates the need for expensive human-annotated or distilled reference queries
- **RL-Based Framework**: Uses reinforcement learning to optimize query generation directly for retrieval performance
- **State-of-the-Art Performance**: Achieves remarkable results across diverse retrieval tasks

Please view our [GitHub page](https://github.com/pat-jj/DeepRetrieval) for instructions.

[DeepRetrieval Paper](https://arxiv.org/pdf/2503.00223)