Cover Image

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Shengda, Cong, Xin, Fu, Yuepeng, Zhang, Zhong, Zhang, Shuyan, Liu, Yuanwei, Wu, Yesai, Lin, Yankai, Liu, Zhiyuan, Sun, Maosong
Format:	Preprint
Published:	2024
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

DebugBench: Evaluating Debugging Capability of Large Language Models
by: Tian, Runchu, et al.
Published: (2024)

Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub
by: Lyu, Bohan, et al.
Published: (2023)

A Declarative Language for Building And Orchestrating LLM-Powered Agent Workflows
by: Daunis, Ivan
Published: (2025)

Efficient Function Orchestration for Large Language Models
by: Liu, Xiaoxia, et al.
Published: (2025)

Automating Complex Document Workflows via Stepwise and Rollback-Enabled Operation Orchestration
by: Zhang, Yanbin, et al.
Published: (2025)

Demystifying the Lifecycle of Failures in Platform-Orchestrated Agentic Workflows
by: Ma, Xuyan, et al.
Published: (2025)

On the effectiveness of Large Language Models for GitHub Workflows
by: Zhang, Xinyu, et al.
Published: (2024)

Heimdallr: Characterizing and Detecting LLM-Induced Security Risks in GitHub CI Workflows
by: Ruan, Bonan, et al.
Published: (2026)

Guardrails as Infrastructure: Policy-First Control for Tool-Orchestrated Workflows
by: Sigdel, Akshey, et al.
Published: (2026)

Statistical Independence Aware Caching for LLM Workflows
by: Dai, Yihan, et al.
Published: (2025)

FlowMind: Execute-Summarize for Structured Workflow Generation from LLM Reasoning
by: Liu, Yihao, et al.
Published: (2026)

ModiGen: A Large Language Model-Based Workflow for Multi-Task Modelica Code Generation
by: Xiang, Jiahui, et al.
Published: (2025)

From Prompt to Pipeline: Large Language Models for Scientific Workflow Development in Bioinformatics
by: Alam, Khairul, et al.
Published: (2025)

SHIELDA: Structured Handling of Exceptions in LLM-Driven Agentic Workflows
by: Zhou, Jingwen, et al.
Published: (2025)

Rethinking Code Review Workflows with LLM Assistance: An Empirical Study
by: Aðalsteinsson, Fannar Steinn, et al.
Published: (2025)

Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
by: He, Mengliang, et al.
Published: (2025)

Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms
by: Chaudhry, Gohar Irfan, et al.
Published: (2025)

QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks
by: Hu, Yaojie, et al.
Published: (2025)

RESTifAI: LLM-Based Workflow for Reusable REST API Testing
by: Kogler, Leon, et al.
Published: (2025)

Towards LLM-Powered Task-Aware Retrieval of Scientific Workflows for Galaxy
by: Cynthia, Shamse Tasnim, et al.
Published: (2025)

Polymer: Development Workflows as Software
by: Parthasarathy, Dhasarathy, et al.
Published: (2025)

DataGovBench: Benchmarking LLM Agents for Real-World Data Governance Workflows
by: Liu, Zhou, et al.
Published: (2025)

On the GitHub Actions Language: Usage, Evolution, and Workflow Reliability
by: Bardsiri, Aref Talebzadeh, et al.
Published: (2026)

Large Language Models Based JSON Parser Fuzzing for Bug Discovery and Behavioral Analysis
by: Zhong, Zhiyuan, et al.
Published: (2024)

Planning-Driven Programming: A Large Language Model Programming Workflow
by: Lei, Chao, et al.
Published: (2024)

Modeling Sampling Workflows for Code Repositories
by: Lefeuvre, Romain, et al.
Published: (2026)

Design, Implementation and Evaluation of a Novel Programming Language Topic Classification Workflow
by: Zhang, Michael, et al.
Published: (2025)

Workflow for Safe-AI
by: Veljanovska, Suzana, et al.
Published: (2025)

Testing Agentic Workflows with Structural Coverage Criteria
by: Kahani, Nafiseh, et al.
Published: (2026)

Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning
by: Jin, Hongwei, et al.
Published: (2024)

Exascale Workflow Applications and Middleware: An ExaWorks Retrospective
by: Alsaadi, Aymen, et al.
Published: (2024)

An Empirical Study of the Evolution of GitHub Actions Workflows
by: Mazrae, Pooya Rostami, et al.
Published: (2026)

How Compliant Are GitHub Actions Workflows? A Checklist-Based Study with LLM-Assisted Auditing
by: Abrokwah, Edward, et al.
Published: (2026)

World of Workflows: A Benchmark for Bringing World Models to Enterprise Systems
by: Gupta, Lakshya, et al.
Published: (2026)

LLM4SZZ: Enhancing SZZ Algorithm with Context-Enhanced Assessment on Large Language Models
by: Tang, Lingxiao, et al.
Published: (2025)

Comment and Control: Hijacking Agentic Workflows via Context-Grounded Evolution
by: Fendley, Neil, et al.
Published: (2026)

How Software Engineers Engage with AI: A Pragmatic Workflow
by: Garousi, Vahid, et al.
Published: (2025)

StatsClaw: An AI-Collaborative Workflow for Statistical Software Development
by: Qin, Tianzhu, et al.
Published: (2026)

SeaView: Software Engineering Agent Visual Interface for Enhanced Workflow
by: Bula, Timothy, et al.
Published: (2025)

Exploring the Capabilities of LLMs for Code Change Related Tasks
by: Fan, Lishui, et al.
Published: (2024)