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Oct 12 · Monday
Another 240 papers do not have category tags yet and are not included in filtered results.
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About this collection Collection in progress We are building a large AI safety paper collection to help researchers find work related to their interests. Papers are collected automatically andfiltered only for relevance to AI safety , without judging quality, novelty or reading value. The default “Annotated first” shows papers with tags or published paper analyses first. Each group is ordered by original publication date, newest first, with undated papers last. “Newest first” uses publication dates only. This order is not a quality ranking.
One-line summaries, tags and paper analyses are prepared by AI from the papers. Language models may have systematic biases and produce hallucinations.We plan to carry out human annotation and review to reduce errors in this content.
提出 SafeReAct，用 LoRA 重激活后训练模型被掩盖的安全机制
Published Mar 10
Evaluated models DeepSeek-R1-distilled LLaMA-8B , DeepSeek-R1-distilled Qwen-7B , DeepSeek-R1-distilled Qwen-14B and others9 Abstract SafeReAct 用剪枝得到的安全表示做 LoRA 对齐，以恢复后训练模型被掩盖的拒绝行为。这篇工作针对后训练 LLM 的安全下降，提出表示对齐方法SafeReAct 。
分析推理模型拒答假新闻时思维链的内部安全分叉
Published Feb 5
Evaluated models Llama3-8B , Qwen3-4B , Qwen3-8B and others5 Abstract 拒绝不等于过程安全。作者对推理 LLM 在虚假新闻生成中的 CoT 做内部路由分析，并只改关键头来降低过程风险。作者称这是该场景下不安全 CoT 的首次系统分析。
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