The authors introduce the task of asking clarifying questions for open-domain information-seeking conversations, collect the Qulac dataset from TREC topics, and propose a retrieval framework that outperforms baselines with an oracle showing 170% P@1 gain.
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A compound AI agent aggregates grant data from disparate sources and enables conversational, hallucination-avoiding search, cutting discovery time to under 10 minutes.
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Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
The authors introduce the task of asking clarifying questions for open-domain information-seeking conversations, collect the Qulac dataset from TREC topics, and propose a retrieval framework that outperforms baselines with an oracle showing 170% P@1 gain.
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A Compound AI Agent for Conversational Grant Discovery
A compound AI agent aggregates grant data from disparate sources and enables conversational, hallucination-avoiding search, cutting discovery time to under 10 minutes.