LACIE: Listener-Aware Finetuning for Confidence Calibration in Large
Language Models

LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models

31 May 2024

Elias Stengel-Eskin

Mohit Bansal

Papers citing "LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models"

6 / 6 papers shown

Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 79 0 0 25 Apr 2025
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations Ziwei Ji L. Yu Yeskendir Koishekenov Yejin Bang Anthony Hartshorn Alan Schelten Cheng Zhang Pascale Fung Nicola Cancedda 41 1 0 18 Mar 2025
Few-Shot Recalibration of Language Models Xiang Lisa Li Urvashi Khandelwal Kelvin Guu 26 5 0 27 Mar 2024
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 161 268 0 28 Sep 2021
Reducing conversational agents' overconfidence through linguistic calibration Sabrina J. Mielke Arthur Szlam Emily Dinan Y-Lan Boureau 195 108 0 30 Dec 2020
Speaker-Follower Models for Vision-and-Language Navigation Daniel Fried Ronghang Hu Volkan Cirik Anna Rohrbach Jacob Andreas Louis-Philippe Morency Taylor Berg-Kirkpatrick Kate Saenko Dan Klein Trevor Darrell LM&Ro LRM 237 444 0 07 Jun 2018