BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verification

29 March 2023

Papers citing "BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verification"

10 / 10 papers shown

Title
SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking Nam V. Nguyen Dien X. Tran Thanh T. Tran Anh T. Hoang Tai V. Duong Di T. Le Phuc-Lu Le 44 0 0 02 Mar 2025
BERT-based model for Vietnamese Fact Verification Dataset Bao Tran T. N. Khanh Khang Nguyen Tuong Thien Dang Quang Nguyen Nguyen T. Thinh Vo T. Hung 39 0 0 01 Mar 2025
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval Yang Bai Anthony Colas Christan Earl Grant Daisy Zhe Wang 30 1 0 21 Mar 2024
Rethinking Loss Functions for Fact Verification Yuta Mukobara Yutaro Shigeto Masashi Shimbo AAML 32 0 0 13 Mar 2024
Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs Moy Yuan Andreas Vlachos 29 6 0 19 Dec 2023
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language Jan Drchal Herbert Ullrich Tomás Mlynár Václav Moravec HILM 34 1 0 15 Dec 2023
Evidence-based Interpretable Open-domain Fact-checking with Large Language Models Xin Tan Bowei Zou AiTi Aw LRM HILM 39 2 0 10 Dec 2023
QA-NatVer: Question Answering for Natural Logic-based Fact Verification Rami Aly Marek Strong Andreas Vlachos 37 6 0 22 Oct 2023
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models Miaoran Li Baolin Peng Michel Galley Jianfeng Gao Zhu Zhang LRM HILM KELM 42 29 0 24 May 2023
Reasoning Over Semantic-Level Graph for Fact Checking Wanjun Zhong Jingjing Xu Duyu Tang Zenan Xu Nan Duan M. Zhou Jiahai Wang Jian Yin HILM GNN 185 166 0 09 Sep 2019