LLM-powered conversational voice sleep diaries achieved higher adherence and richer contextual reports than text-based diaries, with a noted trade-off in structured field completeness.
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Presents a four-module LLM framework for text-to-SQL on the ALeRCE astro database, evaluated on 110 NL/SQL pairs across 13 models with perfect-match metrics.
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Better Adherence, Richer Context: A Field Evaluation of LLM-Powered Conversational Voice Diaries for Sleep
LLM-powered conversational voice sleep diaries achieved higher adherence and richer contextual reports than text-based diaries, with a noted trade-off in structured field completeness.
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Querying an astronomical database using large language models: the ALeRCE text-to-SQL system
Presents a four-module LLM framework for text-to-SQL on the ALeRCE astro database, evaluated on 110 NL/SQL pairs across 13 models with perfect-match metrics.