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20202026
most citedDynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers

8 citations · 37 across the 19 of their papers we have counts for

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cs.AI2025

On the Emergence of Induction Heads for In-Context Learning

Tiberiu Musat, Tiago Pimentel, Lorenzo Noci +3

Transformers have become the dominant architecture for natural language processing. Part of their success is owed to a remarkable capability known as in-context learning (ICL): the…