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cs.LG2026
A Shared Valence Axis Across Modern LLMs and Human EEG: The Saturation Regularity
Yousef A. Radwan, Xuhui Liu, Kilichbek Haydarov +2
Large language models (LLMs) have emerged as powerful representation learners whose internal features increasingly align with human cognition. We study whether modern LLMs can serv…
cs.LG2019★ 5 cited
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
Ahmed Ayyad, Yuchen Li, Nassir Navab +2
Recent progress has shown that few-shot learning can be improved with access to unlabelled data, known as semi-supervised few-shot learning(SS-FSL). We introduce an SS-FSL approach…