[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-expert-pool":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"c34cde2a-794f-4ec0-8ac0-dc7f02677aed","expert pool","expert-pool",0,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"072a2114-1f7f-4d61-99f7-be82c686c286","unipool-shared-expert-pool-moe-zh","UniPool：共享 MoE 專家池","UniPool 把 MoE 的分層專家改成全域共享池，減少重複參數，並在五個 LLaMA 規模模型上改善驗證損失。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778221269156-lam7.png","zh","2026-05-08T06:20:40.070989+00:00"]