Author

Hyun Dong Lee

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#artificial intelligence Preprint Sep 2026

Switching Linear Attention

Designing expressive sequence layers with efficient inference remains a central challenge in modern machine learning. Standard softmax attention achieves excellent sequence modeling performance through rich nonlinear token interactions, but it requires a key-value cache that grows linearly with sequence length, limitin...

Hyun Dong Lee, X. Gonzalez, Nicolas Zucchet et al. · 0 citations

Preprint Aug 2026

Language models suffer from a curse of ambiguity

This work identifies a curse of ambiguity: in large language models, and more broadly in all neural networks that produce discrete probability distributions, the more ambiguous a next-token distribution is, the harder it is to learn accurately.

Nicolas Zucchet, Hyun Dong Lee, Scott W. Linderman · 2 citations