Author

Jian Yu

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Preprint Oct 2026

Safety Kernel: Mechanistic Alignment for Cross-Lingual Defense in LLMs

The safety capabilities of large language models (LLMs) are highly uneven across different languages, often allowing cross-lingual attacks to bypass safety guardrails. Existing alignment methods predominantly rely on external alignment signals and provide limited insight into underlying neuron-level mechanisms, making...

Cheng-Yu Xie, Fei Shen, Shu-Yi Miao et al. · 0 citations

#artificial intelligence Preprint Sep 2026

ACTR: Aligning Thoughts and Responses for Multilingual Safety in Reasoning LLMs

This work proposes aligning cross-lingual thoughts and responses (ACTR), a framework that improves multilingual safety alignment by strengthening the use of existing safety reasoning, and devise neuron-selective consistency optimization (NSCO), which uses a frozen judge model to reward agreement between the safety cate...

Xian-Hui Zhang, Jian Yu, Cheng-Yu Xie et al. · 0 citations

Jul 2026

SafeNexus: Discovering and Steering Modality-Universal Safety Neurons in MLLMs

SafeNexus is introduced, a cross-modal safety alignment framework that adopts a dedicated neuron-level intervention strategy that outperforms prevailing state-of-the-art approaches on safety benchmarks spanning diverse modality combinations, while effectively preserving utility.

Jian Yu, Fei Shen, Cong Wang et al. · arXiv.org · 0 citations