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README.md

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 # DeepRetrieval
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 ## 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.
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 ## 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
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-## About
-
-DeepRetrieval was developed by researchers from the UIUC CS. For more information, visit the [GitHub repository](https://github.com/pat-jj/DeepRetrieval).
+- **State-of-the-Art Performance**: Achieves remarkable results across diverse retrieval tasks