Reconfidencing LLMs from the Grouping Loss Perspective

7 February 2024

Papers citing "Reconfidencing LLMs from the Grouping Loss Perspective"

5 / 5 papers shown

Title
Taming Overconfidence in LLMs: Reward Calibration in RLHF Jixuan Leng Chengsong Huang Banghua Zhu Jiaxin Huang 26 7 0 13 Oct 2024
The Internal State of an LLM Knows When It's Lying A. Azaria Tom Michael Mitchell HILM 216 299 0 26 Apr 2023
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt W. Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 173 86 0 10 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 308 11,909 0 04 Mar 2022
Reducing conversational agents' overconfidence through linguistic calibration Sabrina J. Mielke Arthur Szlam Emily Dinan Y-Lan Boureau 209 153 0 30 Dec 2020