ERBench: An Entity-Relationship based Automatically Verifiable
Hallucination Benchmark for Large Language Models

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models

8 March 2024

Xing Xie

Steven Euijong Whang

Papers citing "ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models"

6 / 6 papers shown

Title
Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration Meihao Fan Xiaoyue Han Ju Fan Chengliang Chai Nan Tang Guoliang Li Xiaoyong Du 17 5 0 07 Dec 2023
Are Large Language Models Good Fact Checkers: A Preliminary Study Han Cao Lingwei Wei Mengyang Chen Wei Zhou Song Hu LRM HILM 24 6 0 29 Nov 2023
ChatGPT Hallucinates when Attributing Answers Guido Zuccon Bevan Koopman Razia Shaik RALM LRM HILM 41 10 0 17 Sep 2023
How Language Model Hallucinations Can Snowball Muru Zhang Ofir Press William Merrill Alisa Liu Noah A. Smith HILM LRM 78 246 0 22 May 2023
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 8,261 0 28 Jan 2022
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 212 140 0 18 Apr 2021