Summary of Fortran2cpp: Automating Fortran-to-c++ Translation Using Llms Via Multi-turn Dialogue and Dual-agent Integration, by Le Chen et al.
Fortran2CPP: Automating Fortran-to-C++ Translation using LLMs via Multi-Turn Dialogue and Dual-Agent Integration
by Le Chen, Bin Lei, Dunzhi Zhou, Pei-Hung Lin, Chunhua Liao, Caiwen Ding, Ali Jannesari
First submitted to arxiv on: 27 Dec 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents Fortran2CPP, a novel approach to translating legacy Fortran code into C++ using large language models (LLMs). The authors generate a multi-turn dialogue dataset by integrating a dual-LLM Questioner-Solver module, simulating iterative feedback-decision workflows including code translation, compilation, execution, unit testing, and error-fixing. The dataset comprises 11.7k dialogues and is used to fine-tune several open-weight LLMs. The results show up to a 3.31x improvement in CodeBLEU scores and a 92% increase in compilation success rate, demonstrating enhanced syntactic accuracy and functional reliability. Fortran2CPP aims to bridge the gap between legacy code and modern computing capabilities. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research helps make old computer code easier to understand by turning it into new code that computers can run faster. The team created a special way to teach computers to translate code using a type of artificial intelligence called large language models (LLMs). They made a big dataset with many examples of how this process works, including steps like testing the new code and fixing errors. By using these LLMs, they were able to make the translated code much better than before. This is important for keeping old computer programs working well in modern times. |
Keywords
» Artificial intelligence » Translation
