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#artificial intelligence Preprint Oct 2026

Attention Sees, MLP Refuses: Tracing the Attention-to-MLP Safety Pathway in LLMs

Safety-aligned large language models (LLMs) remain vulnerable to jailbreaks and can over-refuse benign requests. Understanding these failures requires distinguishing harmfulness recognition from the computation that writes refusal. We reframe this as a pathway question and make it measurable on residual-stream updates...

Zi-Xuan Weng, Hao-Qi He, Wei-Fei Jin et al. · 0 citations
Preprint Sep 2026

MobileVLA-R1 2.0: RL-Enhanced Reasoning for Mobile Robot Control

This work proposes MobileVLA-R1 2.0, an RL-enhanced VLA framework that explicitly couples structured embodied reasoning with executable mobile robot control, and introduces a reasoning-conditioned action decoder that maps multimodal reasoning representations to task-level action targets, which are subsequently translat...

Ting Huang, Yue Huang, Ze-Yu Zhang et al. · 1 citation

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