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Re-Search for The Truth: Multi-round Retrieval-augmented Large Language
  Models are Strong Fake News Detectors

Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors

14 March 2024
Guanghua Li
Wensheng Lu
Wei Zhang
Defu Lian
Kezhong Lu
Rui Mao
Kai Shu
Hao Liao
    HILM
ArXivPDFHTML

Papers citing "Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors"

3 / 3 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
87
1
0
13 Dec 2024
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng Jiang
RALM
AIMat
229
321
0
21 Sep 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
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
314
3,248
0
21 Mar 2022
1