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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.
Using fear activation steering to test the hazard judgment criteria of vision-language models
Published Oct 8
Evaluated models Qwen/Qwen2.5-VL-7B-Instruct 提出基于决策前隐藏状态的检测与引导，预测并抑制智能体欺骗
Published Oct 5
Evaluated models Qwen3-14B Abstract 论文展示了智能体自发欺骗可在行为显现前由内部表征预测，并通过激活引导证实了表征的行为可操作性。
用因果激活修补定位模型服从提示注入的决策层
Published Sep 29
Evaluated models Qwen3-4B , Qwen3-14B , Qwen3-32B and others7 Abstract 合规的因果杠杆集中在网络后三分之一的低秩子空间，该层也是混淆下检测最好的位置。这篇工作用逐层激活修补定位提示注入合规发生在网络何处，并把该位置用于检测验证。 。
因果解耦来源依从与用户迎合的内部机制
Published Sep 29
Evaluated models Qwen3.5-27B , GPT-OSS-20B , OLMo-3.1-32B and others8 Abstract 论文发现模型对验证源的依从强于用户迎合，通过因果干预区分了二者机制，并检验了权威方向移除的缓解效果。
提出 KPI，用入度定位跨层关键路径并做 SAE 转向以解决知识冲突
Published Sep 8
Evaluated models Llama-3-8B , Llama-3.1-8B , Gemma-2-9B Abstract KPI 以入度关键路径替代大批 SAE 特征转向，在冲突 RAG 上提高忠实并减轻副作用。KPI 针对知识冲突 RAG 中的 SAE 转向：相关性批量改特征会带入冗余，少量因果上关键的特征即可完成转向。
构建 CONTEXT CONFLICT 解释模型如何表征并化解语境知识冲突
Published Sep 3
Evaluated models gpt-5 , claude-4.5-sonnet , gemini-2.5-pro and others7 Abstract CONTEXT CONFLICT 显示模型能内部察觉冲突，却偏向靠前证据。CONTEXT CONFLICT 把问题从“参数知识对外部语境”转到“语境内部多来源证据互相冲突”，并同时给出数据、机制分析和一种无训练转向。
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