Cycles of Thought: Measuring LLM Confidence through Stable Explanations

5 June 2024

Papers citing "Cycles of Thought: Measuring LLM Confidence through Stable Explanations"

8 / 8 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 79 0 0 25 Apr 2025
A Survey of Calibration Process for Black-Box LLMs Liangru Xie Hui Liu Jingying Zeng Xianfeng Tang Yan Han Chen Luo Jing Huang Zhen Li Suhang Wang Qi He 74 1 0 17 Dec 2024
What Large Language Models Know and What People Think They Know M. Steyvers Heliodoro Tejeda Lemus Aakriti Kumar Catarina G Belém Sheer Karny Xinyue Hu L. Mayer Padhraic Smyth 43 5 0 24 Jan 2024
Towards Better Chain-of-Thought Prompting Strategies: A Survey Zihan Yu Liang He Zhen Wu Xinyu Dai Jiajun Chen LRM 118 40 0 08 Oct 2023
The Internal State of an LLM Knows When It's Lying A. Azaria Tom Michael Mitchell HILM 213 297 0 26 Apr 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 297 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 315 8,261 0 28 Jan 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 0 21 Oct 2021