Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness

30 August 2023

Papers citing "Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness"

11 / 11 papers shown

Title
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers Dylan Bouchard Mohit Singh Chauhan HILM 67 0 0 27 Apr 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 77 0 0 25 Apr 2025
Enhancing LLM Reliability via Explicit Knowledge Boundary Modeling Hang Zheng Hongshen Xu Yuncong Liu Lu Chen Pascale Fung Kai Yu 60 2 0 04 Mar 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 54 11 0 31 Dec 2024
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 24 1 0 17 Jun 2024
Instruction Tuning with GPT-4 Baolin Peng Chunyuan Li Pengcheng He Michel Galley Jianfeng Gao SyDa ALM LM&MA 154 576 0 06 Apr 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models Potsawee Manakul Adian Liusie Mark J. F. Gales HILM LRM 145 386 0 15 Mar 2023
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 282 3,163 0 21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 313 8,261 0 28 Jan 2022
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 8,157 0 06 Jun 2015