{"article":{"annotation":{"article_id":"russian-researchers-test-llm-agents-for-neural-network-tuning","available_at":"2026-10-12T23:34:06.439590Z","geography_revision":"ef6ee0010dda5fe7b240fd514749b43e214c57da73222d2e40ec83b276dd0977","id":"5381a8917e05642b7235056d2bbb858c8fc94e376c742d2d56f31db4d1e4634c","input_sha256":"d995739cfd80b841a35db476ccd98152da282e88d03e1096a62fc978ada48482","limitations":["Rule-derived subjects are candidates, not verified editorial labels or calibrated model probabilities.","Coverage is distinct from event location. 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وكلاء من النماذج اللغوية لضبط مكونات محددة في الشبكات العصبية. ويفصل النظام بين اقتراح الفرضيات وكتابة الشيفرة وتسجيل التجارب مع إبقاء بنية الشبكة العامة ثابتة. ويضم التعاون أيضاً باحثاً من معهد هاربين للتكنولوجيا في الصين.","شملت الاختبارات تصنيف MNIST وDigits بشبكات عصبية نبضية ومسائل معادلات تفاضلية باستخدام شبكات مستنيرة بالفيزياء. وأوردت الورقة تحسناً في بعض المقاييس، لكنها توضح أن اختبار السوليتون ذي الحل التحليلي سمح بإدخال الصيغة المعروفة، لذلك لا يقيس بحثاً مستقلاً معقداً. تظل النتائج تجريبية ومحصورة في المهام والإعدادات المدروسة."],"sections":[]},"corrections":[],"country":"RU","data":{"blocks":[{"columns":[{"key":"indicator","label":{"ar":"المؤشر","de":"Indikator","en":"Indicator","es":"Indicador","fr":"Indicateur","pt":"Indicador","tr":"Gösterge"},"type":"text"},{"key":"count","label":{"ar":"العدد في نطاق التجربة","de":"Zahl im Versuchsrahmen","en":"Experimental scope count","es":"Cantidad en el alcance experimental","fr":"Nombre dans le périmètre 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والإعدادات المدروسة.","title":"باحثون روس يختبرون نظاماً متعدد الوكلاء لضبط الشبكات 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