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LLM-Based FORM Code Generation with Verification-Driven Fine-Tuning

arXiv · AI, language, vision and robotics · article · Sep 20, 2026 · UTC

FORM is a domain-specific symbolic manipulation language widely used in particle physics for processing the very large algebraic expressions arising from multi-loop Feynman diagram calculations. Despite its central role in precision theoretical physics, no artificial-intelligence tooling exists, to our knowledge, for assisting physicists in writing FORM code. We show that contemporary large language models (LLMs), including frontier models with hundreds of billions of parameters, achieve a zero-percent execution pass rate on our instruction-following and tutorial-style FORM tasks without docum

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First collected: 2026-09-23T10:01:48.231Z. This is not the publication date.