PV-SQL boosts Text-to-SQL execution accuracy by 5% and valid efficiency by 20.8% on BIRD benchmarks via database probing and rule-based SQL verification while using fewer tokens.
Proceedings of the 30th International Conference on Intelligent User Interfaces , pages =
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Intent Lenses infer capture-time user intent from photos via LLMs to create dynamic, reusable interactive objects that generate and organize structured visual notes for later sensemaking.
A preliminary participatory design study identifies design opportunities for proactive mixed reality information support to enhance engagement in in-person small-group conversations.
citing papers explorer
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PV-SQL: Synergizing Database Probing and Rule-based Verification for Text-to-SQL Agents
PV-SQL boosts Text-to-SQL execution accuracy by 5% and valid efficiency by 20.8% on BIRD benchmarks via database probing and rule-based SQL verification while using fewer tokens.
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Intent Lenses: Inferring Capture-Time Intent to Transform Opportunistic Photo Captures into Structured Visual Notes
Intent Lenses infer capture-time user intent from photos via LLMs to create dynamic, reusable interactive objects that generate and organize structured visual notes for later sensemaking.
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Exploring Needs and Design Opportunities for Proactive Information Support in In-Person Small-Group Conversations
A preliminary participatory design study identifies design opportunities for proactive mixed reality information support to enhance engagement in in-person small-group conversations.