Dear Colleagues,
We are pleased to announce the Multi-Domain Detection of AI-Generated Text (M-DAIGT) shared task, hosted at RANLP 2025. This task brings together researchers to explore methods for detecting AI-generated text across multiple domains, with a focus on news articles and academic writing.
We invite participation in two subtasks:
1. News Article Detection (NAD): Classify news articles and snippets as human-written or AI-generated. 2. Academic Writing Detection (AWD): Identify AI-generated content within student coursework and academic research across various disciplines.
* Participants will receive balanced datasets containing human-written and AI-generated texts from multiple language models. Evaluation will be conducted on the CodaLab platform.
Evaluation Metrics:
* Primary: Accuracy, Precision, Recall, F1-score * Secondary: Robustness across text lengths, domains, and generation sources
Important Dates:
* Training Data Release: March 31, 2025 * Evaluation Data Release: April 30, 2025 * Evaluation Period: May 215, 2025 * Paper Submission Deadline: May 25, 2025 * Workshop Dates: September 1112, 2025
More Information and Registration:
* Website: https://ezzini.github.io/M-DAIGT/ * GitHub Repository: https://github.com/ezzini/M-DAIGT * Registration: Click here to register for solo or team participationhttps://docs.google.com/forms/d/e/1FAIpQLSextZDY7qjGRJSLCBNISPcBNQZwusRWKvyxb9uuBxyJddJfdA/viewform * Join us on Slack: Slack Workspacehttps://mdaigtsharedt-xye5995.slack.com/?redir=%2Fssb%2Fredirect
We look forward to your participation and encourage you to share this with colleagues who may be interested. For any queries, feel free to reach out to the organizers.
Yours sincerely, The M-DAIGT Organizers
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