Papers Code Translation
“Code Translation” 태그가 달린 논문 144편 · 필터 해제
CS-Guard: Benchmarking LLM Guardrails for Code Generation Security
Large language models (LLMs) have been ex- ploited to generate malware, but the effective- ness of guardrails for code generation secu- rity remains unclear. We introduce CS-Guard, the first benchmark to systematically e…
Text-to-Code GenerationCode TranslationCode CompletionBootstrapping Niche Multilingual Code Translation via Reinforcement Learning with Execution-Based Verifiable Supervision
Code translation must preserve executable behavior across many programming languages, yet neural code translation has largely focused on a few popular languages such as C++, Java, and Python. This leaves a niche, many-to…
Reinforcement LearningCode TranslationThe Decomposition Is the Fingerprint: Per-Component Identity for Agent Skills
AI agents increasingly acquire and execute skills at runtime: bundles of prompt instructions, executable code, and tool declarations fetched from marketplaces and other agents. Governing them needs a stable notion of ski…
Code TranslationBridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation
While large language models (LLMs) have greatly advanced the functional correctness of automated code translation systems, the runtime efficiency of translated programs has received comparatively little attention. With t…
Prompt EngineeringCode TranslationAgentic Large Language Models for Automated Structural Analysis of 3D Frame Systems
Large language models (LLMs) have emerged as powerful foundation models with strong reasoning capabilities across domains. Beyond reactive text generation, agentic LLMs enable autonomous workflow execution through modula…
Code TranslationText GenerationToken Optimization Strategies for LLM-Based Oracle-to-PostgreSQL Migration
LLMs are increasingly used for software modernization, code translation, and database migration. However, LLM-based Oracle2PostgreSQL migration remains constrained by high token consumption, long-context degradation, dia…
Code TranslationVerifier-Guided Code Translation via Meta-Step Decoding
Test-time scaling is an important mechanism for improving large language models, especially on tasks with deterministic verifiers. Code translation is a canonical example: the source program constrains valid outputs, whi…
Code TranslationImproving Code Translation with Syntax-Guided and Semantic-aware Preference Optimization
LLMs have shown immense potential for code translation, yet they often struggle to ensure both syntactic correctness and semantic consistency. While preference-based learning offers a promising alignment strategy, it is …
Contrastive LearningCode TranslationBeyond BLEU: A Semantic Evaluation Method for Code Translation
Code translation is one of the core capabilities of LLMs. However, evaluating the correctness of translations remains difficult, as commonly used metrics such as BLEU measure only syntactic similarity, disregarding progr…
Code TranslationLarge Language Models for Multilingual Code Intelligence: A Survey
Large language models have transformed AI-assisted software engineering, but current research remains biased toward high-resource languages such as Python, with weaker performance in languages like Rust and OCaml. Since …
Code TranslationCode GenerationCodePivot: Bootstrapping Multilingual Transpilation in LLMs via Reinforcement Learning without Parallel Corpora
Transpilation, or code translation, aims to convert source code from one programming language (PL) to another. It is beneficial for many downstream applications, from modernizing large legacy codebases to augmenting data…
Reinforcement LearningCode TranslationFrom Translation to Superset: Benchmark-Driven Evolution of a Production AI Agent from Rust to Python
Cross-language migration of large software systems is a persistent engineering challenge, particularly when the source codebase evolves rapidly. We present a methodology for LLM-assisted continuous code translation in wh…
Code TranslationAutomating Structural Analysis Across Multiple Software Platforms Using Large Language Models
Recent advances in large language models (LLMs) have shown the promise to significantly accelerate the workflow by automating structural modeling and analysis. However, existing studies primarily focus on enabling LLMs t…
Code TranslationReCodeAgent: A Multi-Agent Workflow for Language-agnostic Translation and Validation of Large-scale Repositories
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 effort required to adapt new PL pairs. Progr…
Code TranslationQ-Bridge: Code Translation for Quantum Machine Learning via LLMs
Large language models have recently shown potential in bridging the gap between classical machine learning and quantum machine learning. However, the lack of standardized, high-quality datasets and robust translation fra…
Quantum Machine LearningCode TranslationCode GenerationPOLCA: Stochastic Generative Optimization with LLM
Optimizing complex systems, ranging from LLM prompts to multi-turn agents, traditionally requires labor-intensive manual iteration. We formalize this challenge as a stochastic generative optimization problem where a gene…
Code TranslationCangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language
Large Language Models excel in high-resource programming languages but struggle with low-resource ones. Existing research related to low-resource programming languages primarily focuses on Domain-Specific Languages (DSLs…
Text-to-Code GenerationCode TranslationCodePercept: Code-Grounded Visual STEM Perception for MLLMs
When MLLMs fail at Science, Technology, Engineering, and Mathematics (STEM) visual reasoning, a fundamental question arises: is it due to perceptual deficiencies or reasoning limitations? Through systematic scaling analy…
Knowledge DistillationImage ReconstructionCode TranslationVisual ReasoningA Novel Multi-Agent Architecture to Reduce Hallucinations of Large Language Models in Multi-Step Structural Modeling
Large language models (LLMs) such as GPT and Gemini have demonstrated remarkable capabilities in contextual understanding and reasoning. The strong performance of LLMs has sparked growing interest in leveraging them to a…
Computational EfficiencyCode TranslationNERFIFY: A Multi-Agent Framework for Turning NeRF Papers into Code
The proliferation of neural radiance field (NeRF) research requires significant efforts to reimplement papers before building upon them. We introduce NERFIFY, a multi-agent framework that reliably converts NeRF research …
Code Translation