Reducing LLM Hallucinations using Epistemic Neural Networks

25 December 2023

Papers citing "Reducing LLM Hallucinations using Epistemic Neural Networks"

8 / 8 papers shown

Title
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling Xinyue Fang Zhen Huang Zhiliang Tian Minghui Fang Ziyi Pan Quntian Fang Zhihua Wen Hengyue Pan Dongsheng Li HILM 88 2 0 17 Sep 2024
Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models Yuji Zhang Sha Li Jiateng Liu Pengfei Yu Yi Ren Fung Jing Li Manling Li Heng Ji 29 10 0 10 Jul 2024
Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach Linyu Liu Yu Pan Xiaocheng Li Guanting Chen 30 24 0 24 Apr 2024
Multicalibration for Confidence Scoring in LLMs Gianluca Detommaso Martín Bertrán Riccardo Fogliato Aaron Roth 24 12 0 06 Apr 2024
Science Checker Reloaded: A Bidirectional Paradigm for Transparency and Logical Reasoning Loïc Rakotoson S. Massip F. Laleye 35 0 0 21 Feb 2024
Distinguishing the Knowable from the Unknowable with Language Models Gustaf Ahdritz Tian Qin Nikhil Vyas Boaz Barak Benjamin L. Edelman 24 18 0 05 Feb 2024
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 3,217 0 21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,402 0 28 Jan 2022