Brain-CLIPLM recovers compressed semantic anchors from EEG via contrastive learning and uses retrieval-grounded LLM reasoning to achieve 67.55% top-5 and 85% top-25 sentence retrieval accuracy, supporting the view that EEG encodes semantic content rather than full linguistic structure.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Review of helioseismic inversions shows the solar modelling problem remains unsolved with broad implications for stellar seismology and fields relying on precise stellar parameters.
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Brain-CLIPLM: Decoding Compressed Semantic Representations in EEG for Language Reconstruction
Brain-CLIPLM recovers compressed semantic anchors from EEG via contrastive learning and uses retrieval-grounded LLM reasoning to achieve 67.55% top-5 and 85% top-25 sentence retrieval accuracy, supporting the view that EEG encodes semantic content rather than full linguistic structure.
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Progress in global helioseismology: a new light on the solar modelling problem and its implications for solar-like stars
Review of helioseismic inversions shows the solar modelling problem remains unsolved with broad implications for stellar seismology and fields relying on precise stellar parameters.