Conference
Open access
Sep 2026
SteelAgent: An LLM-Orchestrated System for Physics-Informed Steel Property Prediction and Generalization Auditing
Machine learning models for steel property prediction routinely report high-quality metrics with R² > 0.85, yet these results rely on random splits that allow similar grades in both train and test sets. We present SteelAgent, an interactive system that exposes a critical generalization gap: the same models drop from R²...
A. Volkov, R. Sultimov, Mikhail Kuzin et al.
· Proceedings of the Thirty-Fi... · 0 citations