Translation in progress Some entries still include text in the original language.
Oct 12 · Monday
Another 265 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 KaliBench,评测模型把安全意图译成 Kali 命令的能力
Published Oct 2
Evaluated models Llama3.1-Instruct 8B , Qwen3 8B , Qwen3 8B thinking and others15 提出 FUSE 框架,评测大语言模型的化生危险能力
Published Sep 2
Evaluated models Claude-3-Haiku , Claude-Opus-4 , Claude-Opus-4.5 and others12 提出 SciRisk-Bench,按风险维度与学科评测 AI4Science 安全
Published Jun 17
Evaluated models kimi-k2.6 , glm-5.1 , gemini-3-flash-preview and others14 Abstract SciRisk-Bench 以风险维度和学科诊断 AI4Science 安全。SciRisk-Bench 是一个按风险维度和科学学科组织的 AI4Science 安全基准,用来看清失败来自哪一种风险机制、出现在哪个学科情境。作者认为 LLM 已介入科研问答、文献分析、实验规划和自主发现,而不安全输出不限于事实错误。现有科学能力基准不测安全,领域安全基准又多集中在化学、医学或生物,或只按宽泛安全类别打分。
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