[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"glossary-articles-fine-tuning-zh-TW":3},[4,17,25,33,43],{"id":5,"slug":6,"title":7,"summary":8,"source":9,"category":10,"image_url":11,"cover_image":11,"language":12,"views":13,"created_at":14,"published_at":15,"topic_cluster_id":16,"topic_clusters":16},"acaa0a72-4a72-44c1-b290-b9fde291c56c","conformal-path-reasoning-kgqa-calibration-zh","CPR 讓 KGQA 更可控","CPR 把 conformal calibration 放到 KGQA 的推理路徑層級，目標是讓答案集合更小、覆蓋率更穩定，提升可部署性。","arxiv.org","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778481062254-mx5m.png","zh",0,"2026-05-11T06:30:34.919508+00:00","2026-05-11T06:30:34.708+00:00",null,{"id":18,"slug":19,"title":20,"summary":21,"source":9,"category":10,"image_url":22,"cover_image":22,"language":12,"views":13,"created_at":23,"published_at":24,"topic_cluster_id":16,"topic_clusters":16},"d10721ce-db28-498a-b0ca-21e10ed35d07","normalizing-trajectory-models-4-step-generation-zh","NTM 讓 4 步生成保留精確似然","NTM 把少步生成改寫成精確似然的 flow 模型，主打四步就能產生不錯的文字生成影像結果，同時保留可訓練、可分析的機率式框架。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778480456312-47pq.png","2026-05-11T06:20:33.310402+00:00","2026-05-11T06:20:33.039+00:00",{"id":26,"slug":27,"title":28,"summary":29,"source":9,"category":10,"image_url":30,"cover_image":30,"language":12,"views":13,"created_at":31,"published_at":32,"topic_cluster_id":16,"topic_clusters":16},"1ff5ab46-edd3-4ee3-b21e-a186f08ed550","autotts-llms-discover-test-time-scaling-zh","AutoTTS讓LLM自己找推理策略","AutoTTS把 test-time scaling 變成環境搜尋問題，讓 LLM 在推理時自動找出更省算力的策略，而不是靠人手調 heuristics。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778479857028-4w21.png","2026-05-11T06:10:29.812426+00:00","2026-05-11T06:10:29.719+00:00",{"id":34,"slug":35,"title":36,"summary":37,"source":38,"category":39,"image_url":40,"cover_image":40,"language":12,"views":13,"created_at":41,"published_at":42,"topic_cluster_id":16,"topic_clusters":16},"19f7524e-5f92-4e50-96fb-58b2e796baec","why-adala-is-the-wrong-way-to-think-about-data-labeling-zh","為什麼 Adala 是看錯資料標註的方式","Adala 很有用，但它不是標註革命，而是把監督式資料工作做得更順的工作流層。","www.blog.brightcoding.dev","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778465449082-ttsj.png","2026-05-11T02:10:30.689444+00:00","2026-05-11T02:10:30.558+00:00",{"id":44,"slug":45,"title":46,"summary":47,"source":48,"category":10,"image_url":49,"cover_image":49,"language":12,"views":13,"created_at":50,"published_at":51,"topic_cluster_id":16,"topic_clusters":16},"f659bb6c-0788-4653-a1b6-53f8798c8564","microsoft-goalcover-fine-tuning-gaps-zh","Microsoft GoalCover 找出微調缺口","Microsoft Research 的 GoalCover 會在微調前找出資料缺口，並在 Qwen-3-14B 的金融摘要任務上提升 reward 分數。","www.microsoft.com","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778462447499-4gq4.png","2026-05-11T01:20:33.736263+00:00","2026-05-11T01:20:33.627+00:00"]