LLM-Based Translation of Compiler Intermediate Representations

A new research paper introduces IRIS-14B, a 14-billion-parameter transformer model fine-tuned to translate between GCC's GIMPLE and LLVM's LLVM IR, two distinct Intermediate Representations used by major compilers. The work addresses the challenge of cross-toolchain interaction, which has been limited by semantic and structural differences between these IRs. Traditional rule-based translators have proven complex and costly to maintain. The authors propose a data-driven approach using Large Language Models (LLMs) to learn mappings from examples. The paper is available on arXiv under identifier 2605.08247.