[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-cascaded-pipeline":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"2a4cced8-34ad-4515-b206-bf34da665e42","cascaded pipeline","cascaded-pipeline",0,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"ed09f03d-0186-4d5f-827a-0fafd1cf7110","healthnlp-retrievers-cascaded-ehr-qa-pipeline-zh","HealthNLP_Retrievers 用級聯式 EHR 問答","這篇論文提出一個級聯式 LLM 管線，目標是在電子病歷上做有依據的臨床問答；但摘要沒有公開完整 benchmark 數字。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778052052950-3kuc.png","zh","2026-05-06T07:20:30.732995+00:00"]