Cover Image

SEW: Self-Evolving Agentic Workflows for Automated Code Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Siwei, Fang, Jinyuan, Zhou, Han, Wang, Yingxu, Meng, Zaiqiao
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EvoAgentX: An Automated Framework for Evolving Agentic Workflows
by: Wang, Yingxu, et al.
Published: (2025)

AFlow: Automating Agentic Workflow Generation
by: Zhang, Jiayi, et al.
Published: (2024)

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

PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
by: Chen, Simin, et al.
Published: (2024)

LAW: Legal Agentic Workflows for Custody and Fund Services Contracts
by: Watson, William, et al.
Published: (2024)

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
by: Sapkota, Ranjan, et al.
Published: (2025)

ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development
by: Yang, Jie, et al.
Published: (2026)

MEMCoder: Multi-dimensional Evolving Memory for Private-Library-Oriented Code Generation
by: Li, Mofei, et al.
Published: (2026)

Semantically Aligned Question and Code Generation for Automated Insight Generation
by: Singha, Ananya, et al.
Published: (2024)

Self-Explained Keywords Empower Large Language Models for Code Generation
by: Fan, Lishui, et al.
Published: (2024)

FormulaCode: Evaluating Agentic Optimization on Large Codebases
by: Sehgal, Atharva, et al.
Published: (2026)

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
by: Fan, Shengda, et al.
Published: (2024)

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

MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair
by: Liu, Simiao, et al.
Published: (2026)

Is Self-Repair a Silver Bullet for Code Generation?
by: Olausson, Theo X., et al.
Published: (2023)

ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments
by: Han, Hojae, et al.
Published: (2025)

IndustryCode: A Benchmark for Industry Code Generation
by: Zeng, Puyu, et al.
Published: (2026)

DevEval: Evaluating Code Generation in Practical Software Projects
by: Li, Jia, et al.
Published: (2024)

ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models
by: Han, Hojae, et al.
Published: (2024)

CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells
by: Naik, Atharva, et al.
Published: (2024)

EigenData: A Self-Evolving Multi-Agent Platform for Function-Calling Data Synthesis, Auditing, and Repair
by: Chen, Jiaao, et al.
Published: (2026)

Magicoder: Empowering Code Generation with OSS-Instruct
by: Wei, Yuxiang, et al.
Published: (2023)

LeDex: Training LLMs to Better Self-Debug and Explain Code
by: Jiang, Nan, et al.
Published: (2024)

Library Drift: Diagnosing and Fixing a Silent Failure Mode in Self-Evolving LLM Skill Libraries
by: Zhang, Xing, et al.
Published: (2026)

CodeMirage: Hallucinations in Code Generated by Large Language Models
by: Agarwal, Vibhor, et al.
Published: (2024)

Multilingual Multimodal Software Developer for Code Generation
by: Chai, Linzheng, et al.
Published: (2025)

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

EvoConfig: Self-Evolving Multi-Agent Systems for Efficient Autonomous Environment Configuration
by: Guo, Xinshuai, et al.
Published: (2026)

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
by: Zheng, Tianyu, et al.
Published: (2024)

An Empirical Study on Failures in Automated Issue Solving
by: Liu, Simiao, et al.
Published: (2025)

CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
by: Jiang, Xue, et al.
Published: (2025)

PERC: Plan-As-Query Example Retrieval for Underrepresented Code Generation
by: Yoo, Jaeseok, et al.
Published: (2024)

CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases
by: Liu, Xiangyan, et al.
Published: (2024)

CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation
by: Yan, Weixiang, et al.
Published: (2023)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
by: Zhuo, Terry Yue, et al.
Published: (2024)

BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution
by: Zhuo, Terry Yue, et al.
Published: (2025)

On the Structural Memory of LLM Agents
by: Zeng, Ruihong, et al.
Published: (2024)

Code Broker: A Multi-Agent System for Automated Code Quality Assessment
by: Attrah, Samer
Published: (2026)

InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
by: Wu, Yutong, et al.
Published: (2024)

ShortCoder: Knowledge-Augmented Syntax Optimization for Token-Efficient Code Generation
by: Liu, Sicong, et al.
Published: (2026)