Unverified50% confidenceSolutionExact time
Teacher-student distillation pipeline: use a cloud large model to label edge cases, then distill into a small on-device model, and manually review samples where the two disagree.
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10/13/2026
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UnverifiedThe teacher model in distillation does not have to be larger than the student model; it can be a domain expert model of comparable size.73% similarUnverifiedThe distillation in this project treats unstructured expert human experience as the teacher, converting tacit knowledge into explicit executable rules via LLM, which differs from traditional model distillation (large model teaching a small model).68% similarUnverifiedIn the distillation paradigm, reViT uses an 8-expert model and distills only using the output features of the DINOv2 teacher, i.e. it retains nearly the full linear probe accuracy of the DINOv2 teacher.67% similarUnverifiedThe researchers eliminated the dependency on SenseNova at inference time by training a distilled student network with the architecture 5120→512→512→5120 (RMS normalization + SiLU activation) to reconstruct the projected teacher representations from H3's L49 conditions.67% similarUnverifiedIn real classroom experiments, teachers need to act as hallucination filters, correcting occasional erroneous guidance from the AI.66% similar
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