Calibration of Machine Reading Systems at Scale

20 March 2022

Papers citing "Calibration of Machine Reading Systems at Scale"

7 / 7 papers shown

Title
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction Eitan Wagner Omri Abend 36 0 0 04 May 2025
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 92 0 0 25 Apr 2025
Re-Examining Calibration: The Case of Question Answering Chenglei Si Chen Zhao Sewon Min Jordan L. Boyd-Graber 61 30 0 25 May 2022
Distilling Knowledge from Reader to Retriever for Question Answering Gautier Izacard Edouard Grave RALM 185 251 0 08 Dec 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015