When to Trust LLMs: Aligning Confidence with Response Quality

26 April 2024

Papers citing "When to Trust LLMs: Aligning Confidence with Response Quality"

5 / 5 papers shown

Title
Rewarding Doubt: A Reinforcement Learning Approach to Confidence Calibration of Large Language Models Paul Stangel D. Bani-Harouni Chantal Pellegrini Ege Ozsoy Kamilia Zaripova Matthias Keicher Nassir Navab 29 1 0 04 Mar 2025
Enhancing LLM Reliability via Explicit Knowledge Boundary Modeling Hang Zheng Hongshen Xu Yuncong Liu Lu Chen Pascale Fung Kai Yu 80 2 0 04 Mar 2025
Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home Viktor Moskvoretskii M. Lysyuk Mikhail Salnikov Nikolay Ivanov Sergey Pletenev Daria Galimzianova Nikita Krayko Vasily Konovalov Irina Nikishina Alexander Panchenko RALM 66 4 0 24 Feb 2025
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Akari Asai Zeqiu Wu Yizhong Wang Avirup Sil Hannaneh Hajishirzi RALM 144 600 0 17 Oct 2023
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 275 1,561 0 18 Sep 2019