Imagen de Portada

Collaboration is all you need: LLM Assisted Safe Code Translation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Karanjai, Rabimba, Blackshear, Sam, Xu, Lei, Shi, Weidong
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Computation and Language Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Teaching Machines to Code: Smart Contract Translation with LLMs
por: Karanjai, Rabimba, et al.
Publicado: (2024)

Generating Move Smart Contracts based on Concepts
por: Karanjai, Rabimba, et al.
Publicado: (2024)

HPCAgentTester: A Multi-Agent LLM Approach for Enhanced HPC Unit Test Generation
por: Karanjai, Rabimba, et al.
Publicado: (2025)

Securing Smart Contract Languages with a Unified Agentic Framework for Vulnerability Repair in Solidity and Move
por: Karanjai, Rabimba, et al.
Publicado: (2025)

Weaving the Cosmos: WASM-Powered Interchain Communication for AI Enabled Smart Contracts
por: Karanjai, Rabimba, et al.
Publicado: (2025)

Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing
por: Karanjai, Rabimba, et al.
Publicado: (2024)

LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis
por: Karanjai, Rabimba, et al.
Publicado: (2024)

Decentralized FaaS over Multi-Clouds with Blockchain based Management for Supporting Emerging Applications
por: Karanjai, Rabimba, et al.
Publicado: (2024)

Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation
por: Chen, Le, et al.
Publicado: (2025)

zkRansomware: Proof-of-Data Recoverability and Multi-round Game Theoretic Modeling of Ransomware Decisions
por: Hou, Xinyu, et al.
Publicado: (2026)

AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model
por: Ma, Lipeng, et al.
Publicado: (2025)

LLM Agents Improve Semantic Code Search
por: Jain, Sarthak, et al.
Publicado: (2024)

Co-Learning: Code Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfaces
por: Yu, Jiapeng, et al.
Publicado: (2024)

Verification Limits Code LLM Training
por: Gureja, Srishti, et al.
Publicado: (2025)

CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks
por: Jiang, Hongchao, et al.
Publicado: (2025)

Stingy Context: 18:1 Hierarchical Code Compression for LLM Auto-Coding
por: Ostby, David Linus
Publicado: (2026)

Pragmatic Reasoning improves LLM Code Generation
por: Cao, Zhuchen, et al.
Publicado: (2025)

Crystal: Illuminating LLM Abilities on Language and Code
por: Tao, Tianhua, et al.
Publicado: (2024)

UA-Code-Bench: A Competitive Programming Benchmark for Evaluating LLM Code Generation in Ukrainian
por: Syromiatnikov, Mykyta, et al.
Publicado: (2025)

RepoTransBench: A Real-World Multilingual Benchmark for Repository-Level Code Translation
por: Wang, Yanli, et al.
Publicado: (2024)

LocAgent: Graph-Guided LLM Agents for Code Localization
por: Chen, Zhaoling, et al.
Publicado: (2025)

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation
por: Zhang, Ziyao, et al.
Publicado: (2024)

CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback
por: Sun, Qiushi, et al.
Publicado: (2025)

Issue Localization via LLM-Driven Iterative Code Graph Searching
por: Jiang, Zhonghao, et al.
Publicado: (2025)

LookALike: Human Mimicry based collaborative decision making
por: Karanjai, Rabimba, et al.
Publicado: (2024)

PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback
por: Peng, Yun, et al.
Publicado: (2024)

Benchmarking LLM Code Generation for Audio Programming with Visual Dataflow Languages
por: Zhang, William, et al.
Publicado: (2024)

CodeNav: Beyond tool-use to using real-world codebases with LLM agents
por: Gupta, Tanmay, et al.
Publicado: (2024)

Risk Assessment Framework for Code LLMs via Leveraging Internal States
por: Huang, Yuheng, et al.
Publicado: (2025)

Let the Code LLM Edit Itself When You Edit the Code
por: He, Zhenyu, et al.
Publicado: (2024)

CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
por: Su, Zian, et al.
Publicado: (2024)

Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers
por: Shi, Yuling, et al.
Publicado: (2024)

Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
por: Zheng, Dewu, et al.
Publicado: (2024)

Multi-agent Application System in Office Collaboration Scenarios
por: Sun, Songtao, et al.
Publicado: (2025)

Code-Vision: Evaluating Multimodal LLMs Logic Understanding and Code Generation Capabilities
por: Wang, Hanbin, et al.
Publicado: (2025)

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
por: Shi, Yuling, et al.
Publicado: (2024)

Deployability-Centric Infrastructure-as-Code Generation: Fail, Learn, Refine, and Succeed through LLM-Empowered DevOps Simulation
por: Zhang, Tianyi, et al.
Publicado: (2025)

Towards an Understanding of Context Utilization in Code Intelligence
por: Wang, Yanlin, et al.
Publicado: (2025)

Vibe Coding on Trial: Operating Characteristics of Unanimous LLM Juries
por: Ullah, Muhammad Aziz, et al.
Publicado: (2026)

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
por: Li, Jia, et al.
Publicado: (2024)