Dear Colleagues,
We are announcing that the Dev phase of the M-DAIGT shared task has started, and the registration deadline has been extended until 7 May 2025. The Multi-Domain Detection of AI-Generated Text (M-DAIGT) shared task, hosted at RANLP 2025, is bringing 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 Codabench platform.
Evaluation Metrics:
* Primary: F1-score, Accuracy, Precision, Recall * Secondary: Robustness across text lengths, domains, and generation sources
Important Dates:
* Training Data Release: March 31, 2025 * Development Phase Start: May 1, 2025 * Evaluation Data Release: May 7, 2025 * Evaluation Period: May 815, 2025 * Paper Submission Deadline: June 1, 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 * Participation: * Shared Task1 News Article Detection (NAD): https://www.codabench.org/competitions/7391/ * Shared Task2 Academic Writing Detection (AWD): https://www.codabench.org/competitions/7329/ *
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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