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20242026
most citedA Unified Perspective on the Dynamics of Deep Transformers

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cs.CL2024

Transformers are Universal In-context Learners

Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré

Transformers are deep architectures that define "in-context mappings" which enable predicting new tokens based on a given set of tokens (such as a prompt in NLP applications or a s…