RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation?
Santiago Góngora, Ignacio Sastre, Santiago Robaina, Ignacio Remersaro, Luis Chiruzzo, Aiala Rosá. Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025). 2025.
Authors
- Ignacio Sastre (ORCID: https://orcid.org/0000-0001-6268-4055)
- Santiago Góngora (ORCID: https://orcid.org/0000-0002-6256-7577)
- Luis Chiruzzo (ORCID: https://orcid.org/0000-0002-1697-4614)
- Aiala Rosá
- Santiago Robaina
- Ignacio Remersaro
Institutions
- Universidad de la República de Uruguay (UY)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.bea-1.89
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agencia Nacional de Investigación e Innovación