Towards Harmonized Uncertainty Estimation for Large Language Models

Towards Harmonized Uncertainty Estimation for Large Language Models

25 May 2025

ArXiv (abs)PDF HTML

Papers citing "Towards Harmonized Uncertainty Estimation for Large Language Models"

14 / 14 papers shown

Title
Large Language Model Confidence Estimation via Black-Box Access Tejaswini Pedapati Amit Dhurandhar Soumya Ghosh Soham Dan P. Sattigeri 227 5 0 21 Feb 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 121 8 0 17 Jun 2024
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities Alexander Nikitin Jannik Kossen Yarin Gal Pekka Marttinen UQCV 121 45 0 30 May 2024
Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach Linyu Liu Yu Pan Xiaocheng Li Guanting Chen 96 38 0 24 Apr 2024
Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience Haixia Han Tingyun Li Shisong Chen Jie Shi Chengyu Du Yanghua Xiao Jiaqing Liang Xin Lin 78 11 0 16 Apr 2024
Calibrating Large Language Models Using Their Generations Only Dennis Ulmer Martin Gubri Hwaran Lee Sangdoo Yun Seong Joon Oh UQLM 490 28 1 09 Mar 2024
Language Models (Mostly) Know What They Know Saurav Kadavath Tom Conerly Amanda Askell T. Henighan Dawn Drain ... Nicholas Joseph Benjamin Mann Sam McCandlish C. Olah Jared Kaplan ELM 124 830 0 11 Jul 2022
Selective Question Answering under Domain Shift Amita Kamath Robin Jia Percy Liang OOD 54 214 0 16 Jun 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 165 2,754 0 05 Jun 2020
Unsupervised Quality Estimation for Neural Machine Translation M. Fomicheva Shuo Sun Lisa Yankovskaya Frédéric Blain Francisco Guzmán Mark Fishel Nikolaos Aletras Vishrav Chaudhary Lucia Specia UQLM 87 209 0 21 May 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 686 24,557 0 26 Jul 2019
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 66 293 0 16 Jul 2019
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension Mandar Joshi Eunsol Choi Daniel S. Weld Luke Zettlemoyer RALM 231 2,686 0 09 May 2017
Deep AutoRegressive Networks Karol Gregor Ivo Danihelka A. Mnih Charles Blundell Daan Wierstra AI4TS BDL 107 282 0 31 Oct 2013