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.
用 SafeEvo 提取拒绝电路，并提出 SCA 仅微调该电路
Published Oct 7
Evaluated models Llama-3-8B , Qwen-2.5-7B , Mistral-7B-v0.1 and others4 Abstract SafeEvo 识别出基座模型中存在的弱安全电路及其演化动态，据此提出的 SCA 算法实现了安全对齐、能力保留与低过度拒绝的平衡。
提出 TAME，在强化学习中抑制模板激活以缓解思维链混淆
Published Sep 21
Evaluated models Qwen3-VL-8B , Gemma-3-12B-it You have reached the end