Tiantian Feng
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126
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ML×1AI×1
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2026
A Multi-dimensional Framework for Evaluating Generalization in EEG Foundation Models
The paper proposes a multi-dimensional evaluation framework to assess EEG foundation models under realistic low-resource conditions, finding that while these models excel in long-context tasks, their performance gains are limited for short-window tasks and channel-constrained settings.
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