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#artificial intelligence Preprint Oct 2026

Safin-1.5: Safety-Native Architecture and Verifiable Reasoning for Recursive Safety Improvement

Recursive self-improvement (RSI) enables large language models to advance their capabilities through successive updates, but these updates can also introduce new risks and weaken existing safeguards. In line with the AI-45{\deg} Law, we pursue Safety RSI, in which safety develops as an intrinsic capability alongside ge...

Jing-Nan Zheng, Cheng Jin, Ming Zhang et al. · 0 citations
Conference Open access Sep 2026

MathCritique: Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision

A critique-in-the-loop self-improvement method that incorporates critique-based supervision into the actor’s self-training process and improves the actor’s exploration efficiency and solution diversity, especially on challenging queries, leading to a stronger actor model.

Zhi-Heng Xi, Dingwen Yang, Jixuan Huang et al. · 0 citations

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