Knowing More About Questions Can Help: Improving Calibration in Question
Answering

Knowing More About Questions Can Help: Improving Calibration in Question Answering

2 June 2021

Papers citing "Knowing More About Questions Can Help: Improving Calibration in Question Answering"

15 / 15 papers shown

Title
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach Jiancong Xiao Bojian Hou Zhanliang Wang Ruochen Jin Q. Long Weijie Su Li Shen 35 0 0 04 May 2025
Large Language Model Confidence Estimation via Black-Box Access Tejaswini Pedapati Amit Dhurandhar Soumya Ghosh Soham Dan P. Sattigeri 89 3 0 21 Feb 2025
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models Shujian Zhang Chengyue Gong Xingchao Liu RALM 49 6 0 02 Nov 2022
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence Hung-Ting Chen Michael J.Q. Zhang Eunsol Choi RALM HILM 47 92 0 25 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 189 22 0 20 Oct 2022
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes Ke Shen Mayank Kejriwal 27 4 0 03 Oct 2022
Re-Examining Calibration: The Case of Question Answering Chenglei Si Chen Zhao Sewon Min Jordan L. Boyd-Graber 61 30 0 25 May 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness Shujian Zhang Chengyue Gong Xingchao Liu Pengcheng He Weizhu Chen Mingyuan Zhou 27 26 0 10 May 2022
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations Roy Schwartz Gabriel Stanovsky 32 25 0 27 Apr 2022
Can Explanations Be Useful for Calibrating Black Box Models? Xi Ye Greg Durrett FAtt 24 25 0 14 Oct 2021
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering Siddhant Garg Alessandro Moschitti 29 26 0 14 Sep 2021
Can NLI Models Verify QA Systems' Predictions? Jifan Chen Eunsol Choi Greg Durrett 23 54 0 18 Apr 2021
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 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015