Imagen de Portada

Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	He, Mengliang, Zeng, Jiayi, Jiang, Yankai, Zhang, Wei, Liu, Zeming, Shi, Xiaoming, Zhou, Aimin
Formato:	Preprint
Publicado:	2025
Materias:	Software Engineering Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models
por: Liu, Jingjing, et al.
Publicado: (2025)

CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation
por: Yan, Kaiwen, et al.
Publicado: (2025)

CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
por: Wang, Peiding, et al.
Publicado: (2025)

Hierarchical Evaluation of Software Design Capabilities of Large Language Models of Code
por: Saad, Mootez, et al.
Publicado: (2025)

Greening Large Language Models of Code
por: Shi, Jieke, et al.
Publicado: (2023)

A Survey on Evaluating Large Language Models in Code Generation Tasks
por: Chen, Liguo, et al.
Publicado: (2024)

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation
por: Gui, Ningxin, et al.
Publicado: (2025)

Evaluating the Generalization Capabilities of Large Language Models on Code Reasoning
por: Yang, Rem, et al.
Publicado: (2025)

Ecosystem of Large Language Models for Code
por: Yang, Zhou, et al.
Publicado: (2024)

V-GameGym: Visual Game Generation for Code Large Language Models
por: Zhang, Wei, et al.
Publicado: (2025)

Inducing Vulnerable Code Generation in LLM Coding Assistants
por: Zeng, Binqi, et al.
Publicado: (2025)

CodeGolf Bench: A Multi-Language Benchmark for Evaluating Concise Code Generation Capabilities of Large Language Models
por: Padwal, Vedant
Publicado: (2026)

InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
por: Li, Linyi, et al.
Publicado: (2024)

An Empirical Study on the Code Refactoring Capability of Large Language Models
por: Cordeiro, Jonathan, et al.
Publicado: (2024)

Can Large Language Models Serve as Evaluators for Code Summarization?
por: Wu, Yang, et al.
Publicado: (2024)

A Hybrid Approach for EMF Code Generation:Code Templates Meet Large Language Models
por: He, Xiao, et al.
Publicado: (2025)

Self-planning Code Generation with Large Language Models
por: Jiang, Xue, et al.
Publicado: (2023)

Hotfixing Large Language Models for Code
por: Yang, Zhou, et al.
Publicado: (2024)

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
por: Guo, Jiawei, et al.
Publicado: (2024)

AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators
por: Chou, Jason, et al.
Publicado: (2025)

Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval
por: Wang, Jiexin, et al.
Publicado: (2024)

From Evaluation to Enhancement: Large Language Models for Zero-Knowledge Proof Code Generation
por: Xue, Zhantong, et al.
Publicado: (2025)

CFCEval: Evaluating Security Aspects in Code Generated by Large Language Models
por: Cheng, Cheng, et al.
Publicado: (2025)

A Preliminary Study on the Robustness of Code Generation by Large Language Models
por: Li, Zike, et al.
Publicado: (2025)

CodeScore: Evaluating Code Generation by Learning Code Execution
por: Dong, Yihong, et al.
Publicado: (2023)

Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models
por: Riddell, Martin, et al.
Publicado: (2024)

Evaluating the Impact of Post-Training Quantization on Large Language Models for Code Generation
por: Giagnorio, Alessandro, et al.
Publicado: (2025)

Assessing the Code Clone Detection Capability of Large Language Models
por: Zhang, Zixian, et al.
Publicado: (2024)

On the Effectiveness of Large Language Models in Domain-Specific Code Generation
por: Gu, Xiaodong, et al.
Publicado: (2023)

CodeJudge: Evaluating Code Generation with Large Language Models
por: Tong, Weixi, et al.
Publicado: (2024)

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code
por: Feng, Jia, et al.
Publicado: (2024)

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation
por: Jiang, Xue, et al.
Publicado: (2024)

Can Large Language Models Generate Geospatial Code?
por: Hou, Shuyang, et al.
Publicado: (2024)

Large Language Models for Code Generation: The Practitioners Perspective
por: Rasheed, Zeeshan, et al.
Publicado: (2025)

Optimizing Large Language Model Hyperparameters for Code Generation
por: Arora, Chetan, et al.
Publicado: (2024)

Aligning Requirement for Large Language Model's Code Generation
por: Tian, Zhao, et al.
Publicado: (2025)

Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation
por: Sun, Zhihong, et al.
Publicado: (2025)

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

Cross-Task Benchmarking and Evaluation of General-Purpose and Code-Specific Large Language Models
por: Das, Gunjan, et al.
Publicado: (2025)

Beyond Accuracy: Characterizing Code Comprehension Capabilities in (Large) Language Models
por: Mächtle, Felix, et al.
Publicado: (2026)