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klotz: retrieval-augmented generation* + context ranking* + natural language processing*

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1. RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs

   A method that uses instruction tuning to adapt LLMs for knowledge-intensive tasks. RankRAG simultaneously trains the models for context ranking and answer generation, enhancing their retrieval-augmented generation (RAG) capabilities.

   2024-07-10 Tags: natural language processing, large language models, instruction tuning, context ranking, retrieval-augmented generation, nvidia, arxiv by klotz

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