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Fine-Tuning Small Reasoning Models for Quantum Field Theory

Woodward, Nathaniel S. et al.
arXiv (All) · Papers
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artificial-intelligencehigh-energy-physics-phenomenologyhigh-energy-physics-theorymachine-learning
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 su
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