It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning
CoGR is introduced, a retrieval framework that instead trains LLMs to directly construct retrieval representations on both query and item sides, and shows stable co-evolution and increasingly aligned query--item keyword spaces over training.
Runpeng Dai, Kai-Li Huang, Changsung Kang et al.
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