What can linear attention learn from nonlinear teachers in-context?
Linear attention is a tractable model for understanding the mechanisms governing in-context learning in transformers. For linear regression tasks, recent asymptotic analyses have characterised its learning and generalisation behaviour.
By Mary Letey, Arman Rysmakhanov, Yue M. Lu, Cengiz Pehlevan, Jacob Zavatone-VetharXiv - stat.ML
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Originally published by arXiv - stat.ML on Oct 9, 2026.
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