Author

Hoki Kim

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#artificial intelligence Preprint Oct 2026

How Learning Governs Unlearning across the Memorization-Generalization Spectrum

While unlearning seeks to negate undesired capabilities acquired through learning, little research has examined how the way models learn shapes their subsequent unlearning. In this paper, we investigate this connection from the perspectives of memorization and generalization, the two most representative yet competing s...

Hwiyeong Lee, H. Lim, Ingyu Bang et al. · 0 citations

#artificial intelligence Preprint Jun 2026

Position: Current Model Cards Are Insufficient for Downstream Governance of Open-Weight Foundation Models

It is argued that effective governance of OWFMs requires a multi-layered approach integrating three complementary components: model cards, acceptable use policies (AUPs), and licenses, and that standard open-source licenses are not well suited for OWFMs and may weaken the enforceability of AUPs.

Sungwon Chae, Keonwoo Kim, Hoki Kim et al. · 0 citations