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Self-Checker: Plug-and-Play Modules for Fact-Checking with Large
  Language Models

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models

24 May 2023
Miaoran Li
Baolin Peng
Michel Galley
Jianfeng Gao
Zhu Zhang
    LRM
    HILM
    KELM
ArXivPDFHTML

Papers citing "Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models"

5 / 5 papers shown
Title
DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts
DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts
Tobias Braun
Mark Rothermel
Marcus Rohrbach
Anna Rohrbach
81
1
0
13 Dec 2024
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
Juyeon Kim
Jeongeun Lee
Yoonho Chang
Chanyeol Choi
Junseong Kim
Jy-yong Sohn
KELM
LRM
41
2
0
27 Feb 2024
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large
  Language Models
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models
Yuyang Bai
Shangbin Feng
Vidhisha Balachandran
Zhaoxuan Tan
Shiqi Lou
Tianxing He
Yulia Tsvetkov
ELM
33
2
0
15 Oct 2023
Automated Fact-Checking: A Survey
Automated Fact-Checking: A Survey
Xia Zeng
Amani S. Abumansour
A. Zubiaga
HILM
164
94
0
23 Sep 2021
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
190
1,358
0
06 Jun 2016
1