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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.
提出 MonoTM,用 SAE 单义特征估计文档主题混合并生成主题描述
Published Sep 9 Abstract MonoTM 分开估计混合与解释主题,三套基准上二者偏好的 SAE 配置不同。MonoTM 是建在文档嵌入 SAE 上的可解释主题模型:混合估计用全部 SAE 特征,主题描述只用另一套配置里通过验证的语义特征。
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