pat-jj/DeepRetrieval

[COLM’25] DeepRetrieval — 🔥 Training Search Agent by RLVR with Retrieval Outcome

51
/ 100
Established

Trains LLMs via reinforcement learning with retrieval metrics as rewards, eliminating the need for supervised query-augmentation pairs. The approach uses structured reasoning with explicit `` sections followed by final query formulation, enabling chain-of-thought reasoning before retrieval. Achieves 65% recall on publication search and supports diverse tasks including real search engines (PubMed, clinical trials), dense/sparse retrieval, and SQL database search with only 3B parameters.

696 stars.

No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

696

Forks

85

Language

Python

License

MIT

Last pushed

Oct 12, 2025

Commits (30d)

0

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