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Xiang Wang

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#artificial intelligence Preprint Oct 2026

Does Your Generalist Skill Optimizer Really Incentivize Agentic Tasks? Rethinking Skill Optimization via Bipartite Attribution

BiPA is introduced, which replays an optimizer's acceptance rule on candidates identical to its seed to measure what selection alone reports, and records each episode as a bipartite graph of turns and the text they read to trace extra input tokens to the behavior behind them.

Jia-Wei Zhou, Bo Peng, Yuxuan Huang et al. · 0 citations
#machine learning Preprint Aug 2026

Safin-1: Safety from Within through Memory-Native State Evolution

The routed-state interface unifies contextual memory and persistent capability adaptation within the model's native computation, reframing memory from a passive record of prior context into an active substrate for maintaining and evolving model behavior.

Ming Zhang, Kai-Sen Yang, Shu Yu et al. · 0 citations

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