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):

• Hallucination detection and mitigation in LLMs
• Alignment techniques for LLMs
• Editing and improving LLM knowledge for enhanced factuality
• Watermarking techniques for identifying LLM-generated text
• AI-generated text detection methods
• Fake news detection using LLMs
• Evaluating the impact of LLM-generated misinformation on society
• Developing responsible deployment strategies for LLMs
• Ethical considerations in mitigating LLM-generated misinformation
• Collaborative human-AI approaches to combat misinformation
• Developing benchmarks and evaluation metrics for LLM-generated misinformation
• Integrating fact-checking and verification methods with LLMs
• Multimodal misinformation detection and mitigation
• Cross-lingual and multilingual misinformation challenges and solutions

We welcome two types of submissions for this workshop:

• Full papers (up to 8 pages)
• Short papers (up to 4 pages)

All submissions must be in English and follow the AAAI conference proceedings format. The page limits include all content except references. 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:

All papers should be submitted through the workshop's OpenReview submission system https://openreview.net/group?id=AAAI.org/2025/Workshop/PDLM

Papers must be submitted in PDF format.

Authors should ensure that their submissions are anonymous for double-blind peer review.

Formatting Requirements:

Use the latest AAAI conference proceedings template, available at: https://aaai.org/conference/aaai/aaai-25/submission-instructions/

Include an abstract of no more than 200 words.

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.

• Submission deadline: December 10, 2024
• Notification to authors: January 5, 2025
• Camera-ready deadline: January 20, 2025
• Workshop date: March 3, 2025 (Afternoon)

15 min	Welcome and Introduction
30 min	Keynote Talk by Dr. Hui Xiong
45 min	Oral Paper Presentations
30 min	Coffee Break and Poster Session
45 min	Panel Discussion
15 min	General Discussion and Closing Remarks