3 papers
cs.LG2025
Learning from Interval Targets
Rattana Pukdee, Ziqi Ke, Chirag Gupta
We study the problem of regression with interval targets, where only upper and lower bounds on target values are available in the form of intervals. This problem arises when the ex…
cs.CL2025
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies
Terrance Liu, Shuyi Wang, Daniel Preotiuc-Pietro +2
While large language models (LLMs) achieve strong performance on text-to-SQL parsing, they sometimes exhibit unexpected failures in which they are confidently incorrect. Building t…
cs.HC2025
Does Calibration Affect Human Actions?
Meir Nizri, Amos Azaria, Chirag Gupta +1
Calibration has been proposed as a way to enhance the reliability and adoption of machine learning classifiers. We study a particular aspect of this proposal: how does calibrating…