Papers by Yash Chandarana
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. |