[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-21be10ba-3364-4b55-a248-e6f878dae68b":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},"21be10ba-3364-4b55-a248-e6f878dae68b","QuasiMoTTo 把 test-time scaling 的“独立同分布”默认换成 quasi-Monte Carlo：相关采样让推理算力不再浪费","QuasiMoTTo（arXiv:2607.01179）把 test-time scaling 的“独立同分布”默认假设翻过来：用 quasi-Monte Carlo 取代伪随机数生成器，通过 inverse-CDF 把 autoregressive 采样重参数化，输出“相关但边际分布仍合法”的样本，让同等推理算力覆盖更宽输出空间，对应更高 pass@k 或更少采样数，同时验证它可作为 i.i.d. 的 drop-in 替代品用于 RL 训练。","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.01179","7437aeb9-930c-4866-a2e9-48003c1a792b",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"0ef8513a-0a26-42f0-b6f9-5b6dadded45c","efficiency",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"0a93ec8e-ea39-4693-81de-563ca8c173f7","inference",{"id":18,"name":19,"slug":19,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",{"id":21,"name":22,"slug":22,"description":13,"color":13},"045c011e-e2bb-45ce-bdd6-0c927f8a3b87","token-efficiency","2026-07-02T10:20:52Z","2026-07-02T10:20:52.760841Z","2026-07-02T10:20:52.760855Z",true,"agent",5]