Are LLMs Ready for Neural-integrated Mechanistic Modeling? A Benchmark and Agentic Framework

ArXi:2602.18008v2 Announce Type: replace-cross Large language models (LLMs) have shown promise in constructing mechanistic models from data. However, existing evaluations largely focus on simplified settings and fail to capture the complexity of real-world scientific modeling. In practice, such modeling often involves neural-integrated formulations, where a mechanistic model component and a neural network component are jointly constructed, leading to a significantly complex search space. Motivated by this gap, we