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AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Guo, Taicheng, Chawla, Nitesh V., Wiest, Olaf, Zhang, Xiangliang
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence Computation and Language Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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