Code Translation
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Benchmarks
CodeXGLUE - CodeTrans
NLC2CMD
Most implemented
Unsupervised Translation of Programming Languages
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Bootstrapping Niche Multilingual Code Translation via Reinforcement Learning with Execution-Based Verifiable Supervision
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
Papers
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 Translation