Papers by Chirag Gupta

2 papers
PROPER Agents: Proactivity Driven Personalized Agents for Advancing Knowledge Gap Navigation (2026.findings-acl)

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Challenge: Current approaches to proactive assistance are anchored in what users express or can read, leading to unnecessary or mistimed interventions.
Approach: They propose a framework that explicitly models user-specific knowledge gaps in a controlled manner.
Outcome: The proposed framework improves on quality scores and win rates across multiple domains, achieving up to 84% gains in single-turn evaluation and consistent dominance in multiturn interactions.
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies (2025.emnlp-main)

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Challenge: Large language models (LLMs) exhibit unexpected failures in which they are confidently incorrect.
Approach: They propose a method for calibrating SQL outputs that leverages structured nature to provide more granular signals of correctness.
Outcome: The proposed method improves on two popular text-to-SQL datasets and provides a confidence score that is calibrated.

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