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Code Translation

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Code translation is the process of converting code written in one programming language to another programming language while maintaining the same functionality. This process is also known as code conversion, source-to-source translation, or transpilation. Code translation is often performed when developers want to take advantage of new programming languages, improve code performance, or maintain legacy systems. Some common examples include translating code from Python to Java, or from JavaScript to TypeScript.

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Code Translation

논문

Function-to-Style Guidance of LLMs for Code Translation

Guaranteed Guess: A Language Modeling Approach for CISC-to-RISC Transpilation with Testing Guarantees

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation

CETBench: A Novel Dataset constructed via Transformations over Programs for Benchmarking LLMs for Code-Equivalence Checking

Rethinking the effects of data contamination in Code Intelligence

LEGO-Compiler: Enhancing Neural Compilation Through Translation Composability

On-Policy Optimization with Group Equivalent Preference for Multi-Programming Language Understanding

AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models

TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents

CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation

LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study

Post-Incorporating Code Structural Knowledge into LLMs via In-Context Learning for Code Translation

Synthetic Data Generation Using Large Language Models: Advances in Text and Code

Collaboration is all you need: LLM Assisted Safe Code Translation

Generation of Optimized Solidity Code for Machine Learning Models using LLMs

MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings

Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering

nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow

Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation

GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation

Fortran2CPP: Automating Fortran-to-C++ Translation using LLMs via Multi-Turn Dialogue and Dual-Agent Integration

RepoTransBench: A Real-World Benchmark for Repository-Level Code Translation

Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property Graphs

Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis

Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation

Does Prompt Formatting Have Any Impact on LLM Performance?

InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation

AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation

Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing

CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming

Evolutionary Retrofitting

Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation

TRANSAGENT: An LLM-Based Multi-Agent System for Code Translation

VulnLLMEval: A Framework for Evaluating Large Language Models in Software Vulnerability Detection and Patching

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation