Pretrained LLMs adapted via convolutional projections and LoRA act as efficient frozen backbones for sensor-based human activity recognition, delivering strong data efficiency and cross-dataset transfer.
Language models are unsupervised multitask learners
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A claimed mathematical proof establishes a quadrilemma showing that complex environments, high AI performance, interpretable explanations, and complete faithfulness cannot coexist.
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Efficient and Adaptive Human Activity Recognition via LLM Backbones
Pretrained LLMs adapted via convolutional projections and LoRA act as efficient frozen backbones for sensor-based human activity recognition, delivering strong data efficiency and cross-dataset transfer.
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Fundamental Limitation in Explaining AI
A claimed mathematical proof establishes a quadrilemma showing that complex environments, high AI performance, interpretable explanations, and complete faithfulness cannot coexist.