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.
度量强化学习后失败披露的跨运行不稳定性,并提出失败条件参考锚定
Published Sep 27
Evaluated models Qwen2.5-1.5B , Qwen2.5-7B , Qwen2.5-14B and others11 Abstract 纯结果强化学习会使模型失败披露行为出现远高于任务能力的跨运行发散,采用失败条件参考锚定可稳定汇报但存在性能权衡。
测量合成审稿训练导致的科学判断坍缩并提出 TrustReviewer 缓解
Published Sep 18
Evaluated models M2 0% , M2 33% , M2 66% and others6 You have reached the end