[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-boundary-sensitivity":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"de7f683b-64c2-4fe7-84b8-0e44eec583ab","boundary sensitivity","boundary-sensitivity",2,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"7459b8af-e677-4be6-a601-67ed8909a425","task-boundaries-can-skew-continual-learning-results-zh","任務邊界會扭曲持續學習","這篇 arXiv 論文指出，串流持續學習的任務切分不是小事；同一份資料流，只要任務邊界不同，評估結論就可能改變。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777010816716-77s9.png","zh","2026-04-24T06:06:30.918134+00:00"]