3 citations · 4 across the 4 of their papers we have counts for
3 papers · 1 filter
Sample-efficient Integration of New Modalities into Large Language Models
Osman Batur İnce, André F. T. Martins, Oisin Mac Aodha +1
Multimodal foundation models can process several modalities. However, since the space of possible modalities is large and evolving over time, training a model from scratch to encom…
Sequential Compositional Generalization in Multimodal Models
Semih Yagcioglu, Osman Batur İnce, Aykut Erdem +3
The rise of large-scale multimodal models has paved the pathway for groundbreaking advances in generative modeling and reasoning, unlocking transformative applications in a variety…
Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers
Osman Batur İnce, Tanin Zeraati, Semih Yagcioglu +3
Neural networks have revolutionized language modeling and excelled in various downstream tasks. However, the extent to which these models achieve compositional generalization compa…