Translation in progress Some entries still include text in the original language.
Oct 12 · Monday
Another 233 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.
测量剪枝对语音 LLM 群体转写公平性的影响
Published Sep 30
Evaluated models Whisper Small (12 layers) , Whisper Medium (24 layers) , Whisper Large-v2 (32 layers) Abstract 剪枝后的 Speech-LLM 不能只看总体 WER:Fair-Speech 上族群差扩大,作者建议看最差组。
审计视觉语言模型在敏感图像上从拒答转向国家立场重构的行为
Published Aug 12
Evaluated models Qwen2-VL-7B , Qwen2.5-VL-7B , Qwen3-VL-8B and others9 Abstract 论文系统审计了 VLM 多模态审查,发现审查正从显式拒答转向隐蔽重构,且中文提示与文本先验会放大重构倾向。论文系统研究了中外开源视觉语言模型在政治敏感图像上的审查行为,主要内容如下。
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