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20222024
most citedWhat makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure

12 citations · 16 across the 4 of their papers we have counts for

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cs.CL2024

Tokenization and Morphology in Multilingual Language Models: A Comparative Analysis of mT5 and ByT5

Thao Anh Dang, Limor Raviv, Lukas Galke

Morphology is a crucial factor for multilingual language modeling as it poses direct challenges for tokenization. Here, we seek to understand how tokenization influences the morpho…

cs.CL2024

Learning and communication pressures in neural networks: Lessons from emergent communication

Lukas Galke, Limor Raviv

Finding and facilitating commonalities between the linguistic behaviors of large language models and humans could lead to major breakthroughs in our understanding of the acquisitio…