# A Small Model Asks Better: Fine-Tuning Query Clarification for Retrieval-Augmented Generation

> 全文为英语

**Published:** 2026年10月22日
**Author:** Lihong He, Lucian Popa, Marina Danilevsky
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/a-small-model-asks-better-fine-tuning-query-clarification-for-retrieval

arXiv:2610.28686v1 Announce Type: new Abstract: Query clarification is essential for retrieval-augmented generation (RAG) systems that face ambiguous user queries. We consider multi-turn grounded conversational scenarios where a user query is either ill-formed or ambiguous in…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2610.28686)

**标签：** #arXiv #Hugging Face

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