arXiv (All)
open access
LLM-Based FORM Code Generation with Verification-Driven Fine-Tuning
and-sciencecomputation-and-languagecomputational-engineeringfinancehigh-energy-physics-phenomenology
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
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Code Correctness Signals in LLM Hidden States: Pre-Generation Probing and Repair Geometry#271846
- TICoder: A Repository-Level Code Generation Framework with Test-Driven Planning and Implementation-Aware Reuse#267730
- Qcombo: A Python Package for Automated Commutator Calculations of Quantum Many-Body Operators#1142651
- Propaq: A Python package for Heisenberg Propagation#984632
- TIPCODER: Reinforcement Learning Boosted Test-time Instruction Proposer for Code Generation#639743
Record · ID 1049109
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive