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cs.CL2025
EEG-CLIP : Learning EEG representations from natural language descriptions
Tidiane Camaret Ndir, Robin Tibor Schirrmeister, Tonio Ball
Deep networks for electroencephalogram (EEG) decoding are often only trained to solve one specific task, such as pathology or age decoding. A more general task-agnostic approach is…
cs.CL2025
Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling
Jelena Bratulić, Sudhanshu Mittal, David T. Hoffmann +5
Large Language Models (LLMs) exhibit In-Context Learning (ICL), which enables the model to perform new tasks conditioning only on the examples provided in the context without updat…