Translation in progress Some entries still include text in the original language.
Oct 12 · Monday
Another 305 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.
综述视频生成的后训练与对齐,并汇总基准与开放挑战
Published Oct 1 Abstract 综述把视频后训练分成四类对齐信号,并指出奖励、长视频、权衡和安全仍开放。这是一篇视频生成 后训练与对齐 综述:预训练模型已有强先验,但作者认为仍不能可靠遵循意图、维持时间连贯或满足物理与安全约束。
提出 FAIL 对抗模仿学习,对齐图像生成分布与专家演示
Published Feb 13
Evaluated models FLUX.1-dev , Xomni , Wan2.1-1.3B You have reached the end