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#artificial intelligence Preprint Feb 2026

Contextual Information Allocation in Shared-State Cognitive Models: An Information-Theoretic Bound

Context-sensitive behavior can be modeled by enriching an internal state, by allowing a response rule to access context directly, or by preserving a shared state while introducing an auxiliary criterion or control variable. This paper isolates an information-theoretic constraint on the third architecture. Let $C$ denot...

S. Kim · 3 citations
#machine learning Conference Jun 2026

What Do Students Learn? A Feature-Level Analysis of Dark Knowledge

This work proposes Confusion Distillation (CD), a teacher-free self-distillation method that utilizes the model's own evolving )confusion patterns as dynamic soft targets, outperforming existing self-distillation methods like CS-KD and PS-KD while offering a computationally efficient alternative to standard KD.

S. Kang, S. Kim · 1 citation

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