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The University of Hong Kong
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Autonomous LLM agents guided by early learning-curve forecasting can discover generalist EEG architectures that outperform state-of-the-art foundation models across 14 diverse clinical and affective benchmarks.
Bench2Dex is meant as a platform for studying visuo-tactile learning across dexterous hands and offers a shared setting for algorithm development while tactile hardware and simulation models are still evolving.