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Oct 12 · Monday
Another 261 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.
适配多种已发表说服评测并比较模型排名
Published Oct 7
Evaluated models Claude-Fable-5.1 , GPT-5.6-Sol , Kimi-K2.6 and others15 Abstract 说服分数混合能力与意愿，换任务后同一模型的排名可以差很多。这项研究比较的是自动化说服评测是否一致，而不是哪一种分数更正确。
比较连续后训练阶段如何改变语言模型的说服力
Published Oct 7
Evaluated models mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated , GPT-4 Abstract 作者称说服性 SFT 提高失调模型的态度变化，IPO 无额外收益，GPT-4 不异于中性文本。作者用同一人类协议，把 LLM 说服力拆成阴谋数据上的失调 SFT、说服数据上的 SFT，以及其后的 IPO。
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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