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2023
The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention
Ayoobi et al. · 3rd ACM Conference on Hypertext and Social Media · LLMs & generative AI, Datasets & evaluation2023
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Asai et al. · arXiv · LLMs & generative AI, Detection methods2023
Disinformation Capabilities of Large Language Models
Vykopal et al. · arXiv · LLMs & generative AI, Detection methods2023
3HAN: A Deep Neural Network for Fake News Detection
Singhania et al. · arXiv · Detection methods, LLMs & generative AI2023
Can AI-Generated Text be Reliably Detected?
Sadasivan et al. · arXiv · LLMs & generative AI, Detection methods2023
On the Risk of Misinformation Pollution with Large Language Models
Pan et al. · arXiv · LLMs & generative AI, Detection methods2023
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
Mitchell et al. · 40th International Conference on Machine… · LLMs & generative AI, Detection methods2023
A Watermark for Large Language Models
Kirchenbauer et al. · arXiv · LLMs & generative AI, Detection methods2023
Combating Misinformation in the Age of LLMs: Opportunities and Challenges
Chen & Shu · arXiv · LLMs & generative AI, Detection methods2023
Linguistic-style-aware Neural Networks for Fake News Detection
Zhou et al. · arXiv · Detection methods, LLMs & generative AI2022
All the News That's Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation
Kreps et al. · Journal of Experimental Political Science · LLMs & generative AI, Detection methods2022
Atlas: Few-shot Learning with Retrieval Augmented Language Models
Izacard et al. · arXiv · LLMs & generative AI, Fact-checking & verification2022
Discovering Latent Knowledge in Language Models Without Supervision
Burns et al. · arXiv · LLMs & generative AI, Detection methods2022
Red Teaming Language Models with Language Models
Perez et al. · arXiv · LLMs & generative AI, Bots & coordinated campaigns2022
Discovering Language Model Behaviors with Model-Written Evaluations
Perez et al. · LLMs & generative AI, Datasets & evaluation2022
Causal Machine Learning: A Survey and Open Problems
Kaddour et al. · arXiv · LLMs & generative AI, Detection methods2022
A Comprehensive Survey on Trustworthy Recommender Systems
Fan et al. · ACM Computing Surveys · Platforms, policy & society, Detection methods2022
Toxicity Detection with Generative Prompt-based Inference
Wang & Chang · arXiv · Detection methods, LLMs & generative AI2022
Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text
Dugan et al. · arXiv · LLMs & generative AI, Detection methods2021
A Survey on Automated Fact-Checking
Guo et al. · arXiv · Fact-checking & verification, Detection methods2021
Belief Evolution Network-based Probability Transformation and Fusion
Zhou et al. · arXiv · Detection methods, LLMs & generative AI2021
Multimodal Emergent Fake News Detection via Meta Neural Process Networks
Wang et al. · ACM SIGKDD Conference on Knowledge Discovery… · Deepfakes & multimodal, Detection methods2021
Perceived and Intended Sarcasm Detection with Graph Attention Networks
Plepi & Flek · arXiv · Detection methods, LLMs & generative AI2021
Misinformation Detection on YouTube Using Video Captions
Jagtap et al. · arXiv · Detection methods, Datasets & evaluation