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University of California Irvine
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By clarifying ambiguous patient queries, this framework boosts diagnostic accuracy by over 57 percentage points, transforming how healthcare chatbots interact with patients.
Integrating multiple acoustic sources is essential for LALMs, yet current benchmarks miss this crucial aspect, revealing a significant gap in audio understanding evaluation.
AP-GRPO reveals that leveraging reliable speech anchors can significantly enhance the reconstruction of distorted speech, adapting to the severity of neurodegenerative conditions.
An open-source framework lets you build conversational health agents that crush GPT-4 on tasks like diabetes management and mental health evaluation.
