Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs

23 May 2025

Papers citing "Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs"

9 / 9 papers shown

Title
Reinforcement Retrieval Leveraging Fine-grained Feedback for Fact Checking News Claims with Black-Box LLM Xuan Zhang Wei Gao LRM KELM 61 9 0 26 Apr 2024
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web Michael Schlichtkrull Zhijiang Guo Andreas Vlachos 47 70 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 601 9,009 0 28 Jan 2022
A Survey on Automated Fact-Checking Zhijiang Guo Michael Schlichtkrull Andreas Vlachos 79 479 0 26 Aug 2021
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP Anthony Chen Pallavi Gudipati Shayne Longpre Xiao Ling Sameer Singh 39 40 0 12 Jun 2021
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context R. Baly Georgi Karadzhov Jisun An Haewoon Kwak Yoan Dinkov Ahmed Ali James R. Glass Preslav Nakov 46 70 0 09 May 2020
REALM: Retrieval-Augmented Language Model Pre-Training Kelvin Guu Kenton Lee Zora Tung Panupong Pasupat Ming-Wei Chang RALM 93 2,050 0 10 Feb 2020
Predicting Factuality of Reporting and Bias of News Media Sources R. Baly Georgi Karadzhov D. Alexandrov James R. Glass Preslav Nakov 50 235 0 02 Oct 2018
FEVER: a large-scale dataset for Fact Extraction and VERification James Thorne Andreas Vlachos Christos Christodoulopoulos Arpit Mittal HILM 118 1,633 0 14 Mar 2018