This workshop is part of the CIMI 2026 thematic trimester on “Low-Resource Settings in AI”. The goal of this trimester is to deepen our understanding of AI models—particularly pre-trained neural models such as language, vision, and multimodal models—under conditions of severe data or computational constraints.
During this workshop, We will focus in particular on models and systems developed when available data is scarce or expensive to obtain (e.g., a language or domain that is underrepresented, annotation requires expertise).
The workshop will feature presentations by international guests and researchers from Toulouse, as well as an hackathon. The full program will be available soon on the website, but we are pleased to confirm the participation of our distinguished guests:
- Rodrigo Agerri
- Eneko Agirre, Professor at the University of the Basque Country UPV/EH (Spain)
- Djoerd Hiemstra
- Adam Jatowt
- Jussi Karlgren
- Shu Okabe, Postdoc at TUM Heilbronn (Germany)
- Barbara Plank, professor at LMU Munich (Germany)
- Senja Pollak, assistant professor at Jožef Stefan Institute (Slovenia)
- Laurent Prévot, professor at Aix Marseille Université (France)
- Damiano Spina
- Tilahun Yeshambel