Loss Minimization Yields Multicalibration for Large Neural Networks

Loss Minimization Yields Multicalibration for Large Neural Networks

19 April 2023

Jarosław Błasiok

Parikshit Gopalan

Adam Tauman Kalai

Preetum Nakkiran

Papers citing "Loss Minimization Yields Multicalibration for Large Neural Networks"

7 / 7 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 92 0 0 25 Apr 2025
ElicitationGPT: Text Elicitation Mechanisms via Language Models Yifan Wu Jason D. Hartline 43 3 0 13 Jun 2024
Omnipredictors for Regression and the Approximate Rank of Convex Functions Parikshit Gopalan Princewill Okoroafor Prasad Raghavendra Abhishek Shetty Mihir Singhal 43 6 0 26 Jan 2024
Calibrated Language Models Must Hallucinate Adam Tauman Kalai Santosh Vempala HILM 30 75 0 24 Nov 2023
HappyMap: A Generalized Multi-calibration Method Zhun Deng Cynthia Dwork Linjun Zhang 68 17 0 08 Mar 2023
The Calibration Generalization Gap Annabelle Carrell Neil Rohit Mallinar James Lucas Preetum Nakkiran UQCV 34 18 0 05 Oct 2022
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020