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Improving the Efficiency and Effectiveness of LLM Knowledge Distillation for Conversational Search
arXiv:2606.04650v1 Announce Type: new Abstract: Conversational Search (CS) considers retrieval of relevant documents based on conversational context. Large Language Models (LLMs) have significantly enhanced CS by enabling effective query rewriting. However, employing LLMs during inference poses efficiency challenges.