Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models

11 March 2024

Papers citing "Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models"

8 / 8 papers shown

Title
Attention Hijackers: Detect and Disentangle Attention Hijacking in LVLMs for Hallucination Mitigation Beitao Chen Xinyu Lyu Lianli Gao Jingkuan Song H. Shen 63 1 0 11 Mar 2025
Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens Zhangqi Jiang Junkai Chen Beier Zhu Tingjin Luo Yankun Shen Xu Yang 98 4 0 23 Nov 2024
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation Yiming Wang Pei Zhang Baosong Yang Derek F. Wong Rui-cang Wang LRM 40 4 0 17 Oct 2024
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation Bairu Hou Yang Zhang Jacob Andreas Shiyu Chang 69 5 0 11 Jun 2024
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus Tianhang Zhang Lin Qiu Qipeng Guo Cheng Deng Yue Zhang Zheng-Wei Zhang Cheng Zhou Xinbing Wang Luoyi Fu HILM 75 47 0 22 Nov 2023
The Internal State of an LLM Knows When It's Lying A. Azaria Tom Michael Mitchell HILM 216 298 0 26 Apr 2023
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation Tianyu Liu Yizhe Zhang Chris Brockett Yi Mao Zhifang Sui Weizhu Chen W. Dolan HILM 217 143 0 18 Apr 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,986 0 31 Dec 2020