Are Large Language Models More Honest in Their Probabilistic or
Verbalized Confidence?

Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?

19 August 2024

Jiafeng Guo

Papers citing "Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?"

5 / 5 papers shown

Title
Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries Sahil Kale Vijaykant Nadadur 45 0 0 14 Mar 2025
Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models Artyom Kharinaev Viktor Moskvoretskii Egor Shvetsov Kseniia Studenikina Bykov Mikhail E. Burnaev MQ 38 0 0 18 Feb 2025
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception Shiyu Ni Keping Bi J. Guo Lulu Yu Baolong Bi Xueqi Cheng 51 2 0 17 Feb 2025
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 306 11,909 0 04 Mar 2022
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020