Introduction

VERT enhances Rust’s capabilities by combining few-shot learning with formal verification to generate correct and safe Rust code transpilations from other languages.

• Integration of formal methods: Incorporates Web Assembly and formal verification.
• Use of LLM: Utilizes large language models for Readable and accurate Rust code production.
• Efficiency in transpilation: Ensures correctness and readability in the final Rust code.
• Evaluation metrics: Demonstrates significant improvement in correctness metrics over previous methods.

Significance and Future Directions The introduction of VERT offers a significant advancement in programming language transpilation technology. This tool represents a breakthrough in combining machine learning techniques with formal methods to achieve high standards in code safety and correctness, paving the way for future developments in this area.