Knowledge Overshadowing Causes Amalgamated Hallucination in Large
Language Models

Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models

10 July 2024

Sha Li

Papers citing "Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models"

9 / 9 papers shown

Title
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains Yein Park Chanwoong Yoon Jungwoo Park Donghyeon Lee Minbyul Jeong Jaewoo Kang KELM 36 1 0 13 Oct 2024
Integrative Decoding: Improve Factuality via Implicit Self-consistency Yi Cheng Xiao Liang Yeyun Gong Wen Xiao Song Wang ... Wenjie Li Jian Jiao Qi Chen Peng Cheng Wayne Xiong HILM 38 1 0 02 Oct 2024
On Early Detection of Hallucinations in Factual Question Answering Ben Snyder Marius Moisescu Muhammad Bilal Zafar HILM 30 24 0 19 Dec 2023
The Internal State of an LLM Knows When It's Lying A. Azaria Tom Michael Mitchell HILM 210 297 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 145 386 0 15 Mar 2023
Time Will Change Things: An Empirical Study on Dynamic Language Understanding in Social Media Classification Yuji Zhang Jing Li 19 5 0 06 Oct 2022
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models Adam Livska Tomávs Kovciský E. Gribovskaya Tayfun Terzi Eren Sezener ... Susannah Young Ellen Gilsenan-McMahon Sophia Austin Phil Blunsom Angeliki Lazaridou KELM 215 89 0 23 May 2022
Information-theoretic generalization bounds for black-box learning algorithms Hrayr Harutyunyan Maxim Raginsky Greg Ver Steeg Aram Galstyan 24 41 0 04 Oct 2021
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 99 146 0 06 Nov 2019