Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
Abstract: The present letter proposes the mitigation of the sensor drift in e-nose using target-domain data free learning. Due to the sensor drift, the distribution of the sensor's response changes ...
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