[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-evolution-strategies":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"4e81d82d-7673-4e04-937d-f7846fe15da2","evolution strategies","evolution-strategies",0,null,[11,20,27],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"5cf69bca-6c4c-46e0-a4b7-b0a59835c548","prevent-catastrophic-forgetting-llm-fine-tuning-en","How to Prevent Catastrophic Forgetting in LLM Fine-Tuning","Use Anchored Weight Decay to reduce prior-task drift during LLM fine-tuning.","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780730282480-iwp2.png","en","2026-06-06T07:17:32.623791+00:00",{"id":21,"slug":22,"title":23,"summary":24,"category":16,"image_url":25,"cover_image":25,"language":18,"created_at":26},"9383f93b-9272-4bd3-81b9-1b3e84f4663e","fixing-llm-forgetting-es-fine-tuning-en","Fixing LLM forgetting in ES fine-tuning","This paper shows LLM fine-tuning with evolution strategies can drift, and anchored weight decay can curb it.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780604273180-xa1x.png","2026-06-04T20:17:26.230817+00:00",{"id":28,"slug":29,"title":30,"summary":31,"category":16,"image_url":32,"cover_image":32,"language":18,"created_at":33},"648ed121-8476-4e28-94bb-ab1a4c7b6878","esma-teaches-llms-self-knowledge-en","How ESMA Teaches LLMs Self-Knowledge","A bias-controlled fine-tuning method improves LLM self-knowledge and generalizes across unseen data, languages, and new facts.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780122783226-85qp.png","2026-05-30T06:32:36.492795+00:00"]