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N. Mesgarani

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Preprint Oct 2026

MOV-AAD: A Large-Scale Multimodal Dataset for Auditory Attention Decoding During Moving Conversations

Auditory attention decoding (AAD) is often evaluated on static, simplified speech scenes that poorly match everyday listening. We introduce MOV-AAD, a large-scale dataset for studying auditory attention under moving, naturalistic conversations. MOV-AAD combines 64-channel EEG with synchronized physiological recordings,...

Xiao-Min He, Vishal Choudhari, Tristan J. Spratt et al. · 0 citations
#natural language process... Preprint Sep 2026

Grammatical"grandmother neurons"are rare in LLMs

Understanding how Large Language Models (LLMs) encode linguistic structures remains a fundamental challenge in interpretability research. While diagnostic classifiers (or"probes") are widely used for this task, they face significant methodological criticism: training auxiliary classifiers introduces capacity confounds...

Lin-Yang He, N. Mesgarani · 0 citations

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