Mikhail Kuzin

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 $R^2\!>\!0.85$, 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