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Jun-Ze Deng

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#machine learning Preprint Sep 2026

Theory on Attention Dynamics for Out-of-Distribution In-Context Learning

Transformers have demonstrated remarkable in-context learning (ICL) capabilities, enabling them to perform new tasks without additional fine-tuning. However, their performance often deteriorates when encountering out-of-distribution (OOD) inputs that deviate from the training distribution, and the underlying theory rem...

Jun-Ze Deng, Daouda Sow, Sen-Fon Lin et al. · 0 citations