RCEM: Embedder Equipped with Query Rewriting Skill for Robust Conversational Search in Distributional Shift 事件

RCEM: Embedder Equipped with Query Rewriting Skill for Robust Conversational Search in Distributional Shift arXiv:2606.01697v1 Announce Type: new Abstract: Conversational search has become increasingly important in retrieval-augmented generation (RAG) systems, where users interact with AI assistants through multi-turn conversations containing context-dependent queries. We propose RCEM, a conversational dense retrieval model that distills the query reformulation capability of LLMs into the embed