Sensitivity-Aware Retrieval-Augmented Intent Clarification
In conversational search systems, a key component is to determine and clarify the intent behind complex queries. We view intent clarification in light of the exploratory search paradigm, where users, through an iterative, evolving process of selection, exploration and retrieval, transform a visceral or conscious need into a formalized one. Augmenting the clarification component with a retrieval step (retrieval-augmented intent clarification) can seriously enhance clarification performance, especially in domains where Large Language Models (LLMs) lack parametric knowledge. However, in more sensitive domains, such as healthcare, government (e.g. FOIA search) or legal contexts, the retrieval...
| Authors | Maik Larooij |
|---|---|
| Primary category | cs.IR |
| Published | 6 March 2026 |
| Last updated at source | 6 March 2026 |
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