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Oct 12 · Monday
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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.
An ecological model is established for a population of mismatched agents, showing that collaboration produces a critical takeoff scale.
Published Oct 9 Abstract The authors say that collaboration changes takeoff from an individual capability threshold to a population threshold, so small-population evaluations are insufficient.The authors use the ecological strong Allee effect to discuss whether a mismatched agent population can take off when individual capabilities remain unchanged. .
用训练数据归因估计错误建议样本对涌现失准的贡献
Published Sep 30
Evaluated models OLMo 3 7B-SFT , Qwen 2.5 1.5B , Qwen 2.5 3B and others11 Abstract 错误建议对涌现失调的贡献不均匀，归因过滤可增减失调，且最有效的是模型自己的分数。EleutherAI 用训练数据归因考察错误建议微调中，哪些样本推动涌现失调。 。窄域有害数据上的微调会使模型在无关问题上也给出有害回答。
审计 Active Inference Agent 上 LLM 解释器的监督叙述失败
Published Sep 20
Evaluated models GPT-4o , Claude-3-Opus , Gemini Abstract 三组触发下解释流畅但错误，所提缓解都未被评估。作者审计的是挂在智能体上的运行时解释器，而不是智能体本身。操作员读到的是信念与动作的自然语言叙述。作者要问哪些可复现触发会让这段叙述失败，以及失败痕迹是什么样。
提出 TAME 框架，定位并验证驱动涌现失准的回复 token
Published Sep 15
Evaluated models Llama-3.2-1B-Instruct , Qwen2.5-1.5B Abstract 提出 TAME 框架在 token 粒度定位 EM 信号，掩码高归因 token 成功切断跨任务未对齐。
Arguing that safety alignment continuously disappears in self-evolving AI societies
Published Feb 10
Evaluated models Qwen3-8B Abstract The authors claim that closed self-evolution makes safety alignment unsustainable.The authors discuss whether a closed self-evolving agent society can simultaneously maintain safety alignment.
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