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Zhihang Lin

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#artificial intelligence Preprint Sep 2026

SafeCoEvo: Co-Evolving Safety Harnesses and Guards for LLM Agents at Test-Time

LLM agents deployed in real-world environments continually encounter new tasks and safety risks, while execution feedback typically becomes available only after each task is completed. However, existing self-evolving approaches commonly rely on multiple rounds of optimization over fixed and repeatedly accessible task d...

Yu Cheng, Yong-Kang Hu, Shuai-Jie Ma et al. · 0 citations
#artificial intelligence Preprint Jul 2026

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD

This work demonstrates a full-stack pathway from efficient trillion-parameter model post-training on Ascend infra to domain-specialized Flash models for solver-grounded mathematical modeling, advancing frontier-model systems for complex reasoning.

Dongfang Li, Xiaodong Luo, Ruoyu Sun et al. · 0 citations

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