Reranker

FRESCO: Benchmarking and Optimizing Re-rankers for Evolving Semantic Conflict in Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) is a key approach to mitigating the temporal staleness of large language models (LLMs) by …
Sohyun An, Hayeon Lee, Shuibenyang Yuan, Chun-Cheng Jason Chen, Vijai Mohan, Cho-Jui Hsieh, Alexander Min
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