Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach

30 May 2024

Papers citing "Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach"

7 / 7 papers shown

Title
Span-Level Hallucination Detection for LLM-Generated Answers Passant Elchafei Mervet Abu-Elkheir HILM LRM 56 1 0 25 Apr 2025
Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs Xiaomin Li Zhou Yu Ziji Zhang Yingying Zhuang S. Narayanan Sadagopan Anurag Beniwal HILM 58 0 0 28 Feb 2025
Prompt-Guided Internal States for Hallucination Detection of Large Language Models Fujie Zhang Peiqi Yu Biao Yi Baolei Zhang Tong Li Zheli Liu HILM LRM 48 0 0 07 Nov 2024
Gemma: Open Models Based on Gemini Research and Technology Gemma Team Gemma Team Thomas Mesnard Cassidy Hardin Robert Dadashi Surya Bhupatiraju ... Armand Joulin Noah Fiedel Evan Senter Alek Andreev Kathleen Kenealy VLM LLMAG 123 415 0 13 Mar 2024
The Internal State of an LLM Knows When It's Lying A. Azaria Tom Michael Mitchell HILM 216 297 0 26 Apr 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models Potsawee Manakul Adian Liusie Mark J. F. Gales HILM LRM 150 386 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 297 3,163 0 21 Mar 2022