A single LLM jointly fine-tuned for conversational dense retrieval and retrieval-augmented generation beats separate retriever-plus-generator pipelines on most test collections, though its headline benchmark was contaminated by inclusion in the training set.
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UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
A single LLM jointly fine-tuned for conversational dense retrieval and retrieval-augmented generation beats separate retriever-plus-generator pipelines on most test collections, though its headline benchmark was contaminated by inclusion in the training set.