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Oct 13 · Tuesday
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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. .
提出奖励驱动多智能体系统 MEA，生成可扰动验证的忠实解释
Published Oct 2
Evaluated models Qwen3.6-35B-A3B , Qwen3.5-4B , Qwen3-VL-30B-A3B-Instruct and others12 Abstract MEA 用忠实性奖励训练双智能体，把工具输出收成可扰动核对的解释。MEA 是一个奖励驱动的双智能体，用来给黑盒分类器的单次预测写自然语言解释，并检查解释能否被扰动后的模型行为支持。
用含压抑率的意见动力学解释多智能体讨论何时优于投票
Published Sep 30
Evaluated models glm-flash , seed , ling and others9 Abstract 讨论增益由压抑率相对 c∗=γ/(γ+a) 的裕度决定，关闭推理或减少压抑可增大该增益。作者用一个只含四类行为的意见动力学，解释 LLM 团队讨论何时优于多数投票、何时停在错误共识。
分析多智能体在压力协作中是否涌现外部难监控的语言
Published Sep 2
Evaluated models GPT 5.4 , Sonnet 4.6 , Opus 4.7 and others5 Abstract 专有模型在预算压力与轮间协商下发展出可产、可传递的非英语代码。GlossoGen 中的 SaveVeyru 用来观察预训练 LLM 智能体在必须通信时会不会离开英语。
用 Ising 式耦合规则预测语言模型智能体的集体意见演化
Published Aug 17
Evaluated models GPT-4o-mini , Gemma-3n-E4B-it , Qwen3.5-9B and others6 Abstract 统计力学三耦合模型从初始意见预测智能体社群轨迹，并解释 conviction、共识与客观题求真。定位 ：用统计力学描述语言模型智能体社群的意见动力学，并从初始意见预测后续轨迹。
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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