Calibrating Large Language Models with Sample Consistency

Calibrating Large Language Models with Sample Consistency

21 February 2024

Chaitanya Malaviya

Marianna Apidianaki

Mrinmaya Sachan

Chris Callison-Burch

Papers citing "Calibrating Large Language Models with Sample Consistency"

7 / 7 papers shown

Title
The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems Richard Ren Arunim Agarwal Mantas Mazeika Cristina Menghini Robert Vacareanu ... Matias Geralnik Adam Khoja Dean Lee Summer Yue Dan Hendrycks HILM ALM 80 0 0 05 Mar 2025
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs D. Yaldiz Yavuz Faruk Bakman Baturalp Buyukates Chenyang Tao Anil Ramakrishna Dimitrios Dimitriadis Jieyu Zhao Salman Avestimehr 27 1 0 17 Jun 2024
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 242 460 0 06 Jan 2021
Reducing conversational agents' overconfidence through linguistic calibration Sabrina J. Mielke Arthur Szlam Emily Dinan Y-Lan Boureau 193 108 0 30 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 4,940 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 9,042 0 06 Jun 2015