Project Details
Description
The current generative AI systems such as ChatGPT are trained on existing texts, but they do not credit their sources. This project will develop a theoretical framework and novel methods for providing references to training data of large language models, which is a prerequisite to systems that are more transparent, trustworthy, and respectful of the rights of the original content creators. The grant will fund two Ph.D. students, one postdoc, and equipment.
Acronym | PlagAIrism |
---|---|
Status | Active |
Effective start/end date | 01/05/2024 → 30/06/2029 |
Collaborative partners
- IT University of Copenhagen (lead)
- Institute of Information Science and Technologies "Alessandro Faedo"
Funding
- Villum Foundation: DKK6,989,227.00
Keywords
- NLP
- language models
- data attribution
- interpretability
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