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#artificial intelligence Preprint Oct 2026

Before Attention Sinks Form: Hidden-State Geometry Reveals and Modulates Their Formation

Attention sinks are usually studied after they have formed. We ask whether a measurable hidden-state change appears beforehand and whether changing that geometry alters what happens later. To remove network depth as a shortcut, we compare prompts in the same model and at the same layer. When sink timing varies across p...

Fan Yang, Yue Song · 0 citations
#artificial intelligence Review Oct 2026

Who Improves the Robot? Toward Physical Recursive Self-Improvement

This study investigates Physical Recursive Self-Improvement (Physical RSI), in which physical experience guides lasting updates to both a robot's capabilities and its improvement procedure, making subsequent improvement more effective across tasks.

Hai Zhou, Fan Yang, Ze-Yi Chen et al. · 0 citations

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