AI RESEARCH
From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT
arXiv CS.LG
•
ArXi:2605.03686v1 Announce Type: new Automated Machine Learning (AutoML) frameworks increasingly leverage Large Language Models (LLMs) for tasks such as hyperparameter optimization and neural architecture code generation. However, current LLM-based approaches focus on generative outputs and evaluate them by