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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.
提出 AUDIT PLAN 先计划后作答,并用 FAITHGATE 绑定答案奖励与计划正确性
Published Sep 17
Evaluated models Qwen2.5-1.5B-Instruct , Qwen2.5-3B-Instruct , Qwen-3-4B-Instruct and others4 Abstract 先承诺可机检安全计划,再让计划正确性决定能否拿到答案奖励。AUDIT PLAN 把安全对齐从“只优化最终答案”改成“先提交隐藏的结构化安全计划,再按该计划作答”,并用 FAITHGATE 把高答案奖励限定在计划正确时。
提出 aiXamine 黑盒基准,统一评测 LLM 安全、稳健与隐私权衡
Published Aug 21
Evaluated models openai/gpt-5-mini , openai/gpt-4o , anthropic/claude-haiku-4.5 and others15 Abstract aiXamine 用九服务黑盒协议比较百余个模型,作者称单轴信任度进展可能削弱其他轴。aiXamine 是一套黑盒评测协议,用来在同一条件下比较 LLM 的 safety、security 与 privacy,而不是再产出一个能力分。
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