activity
20242026
most citedTowards Translating Real-World Code with LLMs: A Study of Translating to Rust

7 citations · 13 across the 9 of their papers we have counts for

collaborators

9 papers

cs.PL2026

Mostly Automatic Translation of Language Interpreters from C to Safe Rust

Bo Wang, Brandon Paulsen, Joey Dodds +3

Translating C programs to safe Rust is challenging owing to significant differences in typing constraints, ownership, and borrowing rules. Interpreter programs are particularly imp…

cs.SE2026

ReCodeAgent: A Multi-agent Workflow for Language-Agnostic Translation and Validation of Large-Scale Repositories

Ali Reza Ibrahimzada, Brandon Paulsen, Daniel Kroening +1

Most repository-level code translation and validation techniques have been evaluated on a single source-target programming language (PL) pair, owing to the complex engineering effo…

cs.SE2026

Validated Code Translation for Projects with External Libraries

Hanliang Zhang, Arindam Sharma, Cristina David +5

Large Language Models (LLMs) have shown promise for program translation, particularly for migrating systems code to memory-safe languages such as Rust. However, existing approaches…

cs.SE2025

Automated Cloud Infrastructure-as-Code Reconciliation with AI Agents

Zhenning Yang, Hui Guan, Victor Nicolet +4

Cloud infrastructure is managed through a mix of interfaces -- traditionally, cloud consoles, command-line interfaces (CLI), and SDKs are the tools of choice. Recently, Infrastruct…

cs.SE2025

Adversarial Agent Collaboration for Correctness Improvements of C to Safe Rust Translation

Tianyu Li, Ruishi Li, Bo Wang +3

Translating C to memory-safe languages, like Rust, prevents critical memory safety vulnerabilities that are prevalent in legacy C software. Even with recent LLM-based and tool-augm…

cs.SE2025

MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair

Ali Reza Ibrahimzada, Brandon Paulsen, Reyhaneh Jabbarvand +2

Code translation transforms source code from one programming language (PL) to another. Validating the functional equivalence of translation and repairing, if necessary, are critica…

cs.PL2024★ 3 cited

Scalable, Validated Code Translation of Entire Projects using Large Language Models

Hanliang Zhang, Cristina David, Meng Wang +2

Large language models (LLMs) show promise in code translation due to their ability to generate idiomatic code. However, a significant limitation when using LLMs for code translatio…

cs.PL2024★ 3 cited

VERT: Verified Equivalent Rust Transpilation with Large Language Models as Few-Shot Learners

Aidan Z. H. Yang, Yoshiki Takashima, Brandon Paulsen +2

Rust is a programming language that combines memory safety and low-level control, providing C-like performance while guaranteeing the absence of undefined behaviors by default. Rus…

cs.SE2024★ 7 cited

Towards Translating Real-World Code with LLMs: A Study of Translating to Rust

Hasan Ferit Eniser, Hanliang Zhang, Cristina David +5

Large language models (LLMs) show promise in code translation - the task of translating code written in one programming language to another language - due to their ability to write…