Fetching the paper…
Reading the bibliography…
Recent advancements in Large Language Models (LLMs) have enabled the creation of fake news, particularly in complex fields like healthcare.
ANOVA: Repeated measures
Ellen R Girden · 1992
Earlier work this paper cites.
Adversarial attacks and defences: A survey
Anirban Chakraborty, Manaar Alam, Vishal Dey, Anupam Chattopadhyay, and Debdeep Mukhopadhyay · 2018
Earlier work this paper cites.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Earlier work this paper cites.
Declare: Debunking fake news and false claims using evidence-aware deep learning
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, and Gerhard Weikum · 2018
Earlier work this paper cites.
Roberta: a robustly optimized bert pretraining approach (2019)
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
Earlier work this paper cites.
defend: Explainable fake news detection
Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, and Huan Liu · 2019
Earlier work this paper cites.
Exploring adversarial examples in malware detection
Octavian Suciu, Scott E Coull, and Jeffrey Johns · 2019
Earlier work this paper cites.
Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi · 2019
Earlier work this paper cites.
How effectively can machines defend against machine-generated fake news? an empirical study
Meghana Moorthy Bhat and Srinivasan Parthasarathy · 2020
Earlier work this paper cites.
Making pre-trained language models better few-shot learners
Tianyu Gao, Adam Fisch, and Danqi Chen · 2020
Earlier work this paper cites.
A survey of fake news: Fundamental theories, detection methods, and opportunities
Xinyi Zhou and Reza Zafarani · 2020
Earlier work this paper cites.
Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
Earlier work this paper cites.
Mining dual emotion for fake news detection
Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, and Kai Shu · 2021
Cited alongside, same era.
Red teaming language models with language models
Ethan Perez, Saffron Huang, Francis Song, Trevor Cai, Roman Ring, John Aslanides, Amelia Glaese, Nat McAleese, and Geoffrey Irving · 2022
Cited alongside, same era.
Afpfactcheck
AFPFactCheck · 2023
Cited alongside, same era.
Checkyourfact
CheckYourFact · 2023
Cited alongside, same era.
Can llm-generated misinformation be detected?
Canyu Chen and Kai Shu · 2023
Cited alongside, same era.
Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E Gonzalez, et al · 2023
Contrasting linguistic patterns in human and llm-generated text
Alberto Muñoz-Ortiz, Carlos Gómez-Rodríguez, and David Vilares · 2023
Later among the works it cites.
Chatgpt 3.5
OpenAI · 2023
Later among the works it cites.
On the risk of misinformation pollution with large language models
Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, and William Yang Wang · 2023
Later among the works it cites.
Politifact
PolitiFact · 2023
Later among the works it cites.
Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, and Yang Zhang · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Factcheck
FactCheck · 2023
Cited alongside, same era.
Walid Hariri · 2023
Cited alongside, same era.
Healthfeedback
HealthFeedback · 2023
Cited alongside, same era.
Disinformation detection: An evolving challenge in the age of llms
Bohan Jiang, Zhen Tan, Ayushi Nirmal, and Huan Liu · 2023
Cited alongside, same era.
Leadstories
LeadStories · 2023
Cited alongside, same era.
Jailbreaking chatgpt via prompt engineering: An empirical study
Yi Liu, Gelei Deng, Zhengzi Xu, Yuekang Li, Yaowen Zheng, Ying Zhang, Lida Zhao, Tianwei Zhang, and Yang Liu · 2023
Cited alongside, same era.
Jinyan Su, Claire Cardie, and Preslav Nakov · 2023
Later among the works it cites.
Yanshen Sun, Jianfeng He, Shuo Lei, Limeng Cui, and Chang-Tien Lu · 2023
Later among the works it cites.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
Later among the works it cites.
Disinformation capabilities of large language models
Ivan Vykopal, Matúš Pikuliak, Ivan Srba, Robert Moro, Dominik Macko, and Maria Bielikova · 2023
Later among the works it cites.
Implementing bert and fine-tuned roberta to detect ai generated news by chatgpt
Zecong Wang, Jiaxi Cheng, Chen Cui, and Chenhao Yu · 2023
Later among the works it cites.
Fake news in sheep’s clothing: Robust fake news detection against llm-empowered style attacks
Jiaying Wu and Bryan Hooi · 2023
Later among the works it cites.