As large language models (LLMs) become more sophisticated and pervasive, the risk of misinformation they generate poses significant challenges. This workshop aims to address the specific issues related to misinformation produced by LLMs, focusing on both prevention and detection strategies.
The widespread use of LLMs makes addressing misinformation they generate more urgent than ever. As these models become more advanced, they can produce text that seems credible but may contain false information, impacting areas like healthcare, finance, and public policy.
This workshop will bring together researchers and practitioners to foster collaboration, share insights, and inspire new research directions in the responsible development and deployment of LLM technologies. By focusing on these key issues, we aim to mitigate the harm caused by LLM-generated misinformation across various domains.
We invite papers that focus on various aspects of mitigating misinformation generated by LLMs. Topics of interest include (but are not limited to):
We welcome two types of submissions for this workshop:
All submissions must be in English and follow the AAAI conference proceedings format. The page limits apply only to the main content - references may use unlimited pages. Additionally, authors may include unlimited pages of appendices. Submissions must be original work that has not been previously published at other conferences. Simultaneous submission to other conferences or workshops is permitted.
Submission Process:
Formatting Requirements:
Review Process:
All submissions will undergo a double-blind peer review process. Each paper will be reviewed by at least two members of the program committee based on its originality, relevance to the workshop, technical soundness, and clarity of presentation.
Presentation:
Authors of accepted papers will be invited to present their work at the workshop. Presentation details will be provided upon acceptance.
15 min | Welcome and Introduction |
30 min | Keynote Talk |
60 min | Oral Paper Presentations |
45 min | Poster Session |
15 min | General Discussion, Awards Ceremony and Closing Remarks |
Hong Kong University of Science and Technology (Guangzhou)
University of Illinois at Chicago
Hong Kong University of Science and Technology (Guangzhou)
Hong Kong University of Science and Technology (Guangzhou)
Hong Kong Baptist University
Emory University
Tsinghua University
To be announced