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Exploring the Deceptive Power of LLM-Generated Fake News: A Study of
  Real-World Detection Challenges

Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges

27 March 2024
Yanshen Sun
Jianfeng He
Limeng Cui
Shuo Lei
Chang-Tien Lu
ArXivPDFHTML

Papers citing "Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges"

5 / 5 papers shown
Title
LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation
LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation
Beizhe Hu
Qiang Sheng
Juan Cao
Yang Li
Danding Wang
51
0
0
28 Apr 2025
Synthetic News Generation for Fake News Classification
Synthetic News Generation for Fake News Classification
Abdul Sittar
Luka Golob
Mateja Smiljanic
32
0
0
31 Mar 2025
On the Risk of Misinformation Pollution with Large Language Models
On the Risk of Misinformation Pollution with Large Language Models
Yikang Pan
Liangming Pan
Wenhu Chen
Preslav Nakov
Min-Yen Kan
W. Wang
DeLMO
190
105
0
23 May 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,898
0
31 Dec 2020
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