Fine-tuning small reasoning models for quantum field theory
Abstract Despite the growing application of large language models (LLMs) to theoretical physics, there has been little academic exploration of how domain-specific physics reasoning ability develops during training. To investigate this, we perform the first academic comparison of reinforcement learning and supervised fi...
Nathaniel Woodward, Zhiqi Gao, Yurii Kvasiuk et al.
· Machine Learning Science and... · 0 citations