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Oct 12 · Monday
Another 262 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 SCM 合成会话并训练检测器识别推理层滥用
Published Sep 29
Evaluated models gradient-boosted detector (GBDT/XGBoost) 提出 RolePlay 框架,用人设条件放大 LLM 单次推理开销
Published Jul 29
Evaluated models DeepSeek-V4-Pro , Gemini-3.5-Flash , Qwen-3.5-Plus and others5 提出层级遗传算法 HGA,扰动题目逻辑结构诱发推理模型过度思考
Published May 13
Evaluated models DeepSeek-R1 (671B) , Qwen3-Thinking , GPT-o3 and others5 Abstract HGA 在黑盒推理模型上用逻辑扰动拉长输出,作者称可从小代理迁移,查询成本是其局限。
提出 VIDEO STF 评测视频大模型输出重复并压力测试时序扰动
Published Feb 11
Evaluated models LLaVA-Video-7B-Qwen2 , LLaVA-Video-7B-Qwen2-Video-Only , LLaVA-NeXT-Video-7B and others10 Abstract VIDEO STF 把输出重复做成可测、可被时间扰动放大、并可黑盒诱导的失败。VIDEO STF 测量 VideoLLM 的输出重复,并把时间变换用作 black-box 诱导。
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