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Cross-channel knowledge distillation allows a tiny 123K-parameter model to decode five-finger motor intent from stroke survivors using only four surface EMG channels without sacrificing multi-label precision.
Hierarchical supervision can boost uncertainty estimation in LLMs, enhancing decision-making in biodiversity monitoring by improving prediction accuracy significantly.