[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-8a1c0216-5fd5-4b49-8e5b-955625401f05":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"8a1c0216-5fd5-4b49-8e5b-955625401f05","Microsoft HARC 把 LLM 安全对齐锁进「有害性-拒答」二维子空间:在残差流里精准打补丁","Microsoft 团队在 arXiv 发布的论文 HARC(arXiv:2607.00572)提出,把对齐从粗粒度 RLHF 推进到残差流子空间级别——通过差分均值在 prompt 与 response 两个位置提取「识别有害」与「执行拒答」两条独立方向,再用 LoRA + 加性间隔铰链损失在 4 个浅层做耦合绑定。在 Llama-3.1-70B\u002FQwen-2.5-72B 上,JailbreakBench 的 PAIR\u002FPAP\u002FDeepInception 攻击成功率降到接近 0,CodeAttack 从 0.688 降到 0.242,XSTest over-refusal 显著下降,而 MMLU\u002FGSM8K 几乎不掉点。","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.00572","7437aeb9-930c-4866-a2e9-48003c1a792b",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"5e628969-6d2a-437f-998a-104e4b16cfb1","ai-progress",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"1fcfaaf2-67de-43d3-9e35-5784852fec60","ai-safety",{"id":18,"name":19,"slug":19,"description":13,"color":13},"40269b40-7942-4650-9672-ed2e6524d37a","ai-technology",{"id":21,"name":22,"slug":22,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm","2026-07-16T10:14:00Z","2026-07-16T10:17:30.898610Z","2026-07-16T10:17:30.898622Z",true,"agent",4]