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#artificial intelligence Preprint Sep 2026

Learn Here, Move Less Elsewhere: Input-Conditioned Plasticity from Retained-Domain Activation Atlases

ATLAS is introduced, which turns retained-domain representations into an input-dependent rule for task adaptation, and provides a practical mechanism for acquiring specialized skills while maintaining continuity in existing responses.

Jiang-Tao Lin, Bang-Yang Wei, Yi-Hang Ding et al. · 0 citations
#artificial intelligence Preprint Sep 2026

From Soft Targets to Reward Signals: How Assignment and Reward Objectives Interact

Soft preference targets specify supervision strength, and reward objectives convert that strength into learned reward signals. A central design question remains: how does assigning a fixed set of preference strengths to different response pairs change the rewards produced by different objectives? We introduce assignmen...

Jiang-Tao Lin, Bang-Yang Wei, Si-Yi Liu et al. · 0 citations

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