Papers by Inas S. Khayal

1 papers
Follow-up Question Generation For Enhanced Patient-Provider Conversations (2025.acl-long)

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Challenge: Follow-up question generation is an essential feature of dialogue systems as it can reduce conversational ambiguity and enhance modeling complex interactions.
Approach: They propose a framework that generates personalized follow-up questions based on patient utterances and prior EHR data.
Outcome: The framework reduces follow-up communications by 34% and improves performance by 17% and 5% on real and synthetic data.

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