Open Source AI Project


llm-misinformation-survey compiles a list of resources related to combating misinformation in the era of large language models (LLMs).


The GitHub project “llm-misinformation-survey” serves as a comprehensive repository that aggregates various materials and research findings pertinent to the challenge of misinformation within the context of Large Language Models (LLMs). This project is designed to address the multifaceted aspects of misinformation, including its detection, which involves identifying false information generated by LLMs; intervention strategies, which are methods to prevent or minimize the spread of such misinformation; attribution, which focuses on tracing the origins and sources of misinformation; and counteraction techniques, aimed at effectively countering or neutralizing the impact of misinformation disseminated by LLMs.

This initiative stands as a crucial resource for a diverse audience, including academic researchers who are exploring the theoretical and practical dimensions of misinformation, policy makers who are involved in crafting regulations and guidelines to safeguard against the spread of false information, and technologists who are on the frontline of developing and implementing technological solutions to detect and mitigate the impact of misinformation. By compiling a wide range of resources, from scholarly articles to practical toolkits, the project facilitates a deeper understanding of the challenges posed by misinformation in the digital realm and fosters collaborative efforts towards developing more resilient and effective defenses against it. This collaborative approach underscores the importance of cross-disciplinary efforts in addressing the complex issue of misinformation in the age of advanced artificial intelligence and machine learning technologies.

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