Image de couverture de livre

WorkTeam: Constructing Workflows from Natural Language with Multi-Agents

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Hanchao, Li, Rongjun, Xiong, Weimin, Zhou, Ziyu, Peng, Wei
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

More Vulnerable than You Think: On the Stability of Tool-Integrated LLM Agents
par: Xiong, Weimin, et autres
Publié: (2025)

FlyRoute: Self-Evolving Agent Profiling via Data Flywheel for Adaptive Task Routing
par: Li, Rongjun, et autres
Publié: (2026)

LF-Steering: Latent Feature Activation Steering for Enhancing Semantic Consistency in Large Language Models
par: Yang, Jingyuan, et autres
Publié: (2025)

Gradient Co-occurrence Analysis for Detecting Unsafe Prompts in Large Language Models
par: Yang, Jingyuan, et autres
Publié: (2025)

A Survey on Hallucination in Large Vision-Language Models
par: Liu, Hanchao, et autres
Publié: (2024)

Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow
par: Zhou, Ziyu, et autres
Publié: (2025)

nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow
par: Ouyang, Geliang, et autres
Publié: (2025)

Cooperative Profiles Predict Multi-Agent LLM Team Performance in AI for Science Workflows
par: Kumar, Shivani, et autres
Publié: (2026)

Turning Conversations into Workflows: A Framework to Extract and Evaluate Dialog Workflows for Service AI Agents
par: Choubey, Prafulla Kumar, et autres
Publié: (2025)

EpiBench: Benchmarking Multi-turn Research Workflows for Multimodal Agents
par: Dong, Xuan, et autres
Publié: (2026)

Lemur: Harmonizing Natural Language and Code for Language Agents
par: Xu, Yiheng, et autres
Publié: (2023)

Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach
par: Yang, Jingyuan, et autres
Publié: (2025)

Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization
par: Liu, Yuchi, et autres
Publié: (2024)

CreAgentive: An Agent Workflow Driven Multi-Category Creative Generation Engine
par: Cheng, Yuyang, et autres
Publié: (2025)

AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration
par: An, Hyunjn, et autres
Publié: (2025)

Adaptive In-conversation Team Building for Language Model Agents
par: Song, Linxin, et autres
Publié: (2024)

AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories
par: Song, Yifan, et autres
Publié: (2024)

Multi-Agent Collaboration via Cross-Team Orchestration
par: Du, Zhuoyun, et autres
Publié: (2024)

Inferring Latent Intentions: Attributional Natural Language Inference in LLM Agents
par: Quan, Xin, et autres
Publié: (2026)

LangMARL: Natural Language Multi-Agent Reinforcement Learning
par: Yao, Huaiyuan, et autres
Publié: (2026)

Agent Workflow Memory
par: Wang, Zora Zhiruo, et autres
Publié: (2024)

EduAgentQG: A Multi-Agent Workflow Framework for Personalized Question Generation
par: Jia, Rui, et autres
Publié: (2025)

Communication to Completion: Modeling Collaborative Workflows with Intelligent Multi-Agent Communication
par: Lu, Yiming, et autres
Publié: (2025)

GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration
par: Li, Xin, et autres
Publié: (2024)

HYBRIDMIND: Meta Selection of Natural Language and Symbolic Language for Enhanced LLM Reasoning
par: Han, Simeng, et autres
Publié: (2024)

On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
par: Wang, Ziyu, et autres
Publié: (2024)

Automating Structural Engineering Workflows with Large Language Model Agents
par: Liang, Haoran, et autres
Publié: (2025)

WISE-Flow: Workflow-Induced Structured Experience for Self-Evolving Conversational Service Agents
par: Zhou, Yuqing, et autres
Publié: (2026)

Cochain: Balancing Insufficient and Excessive Collaboration in LLM Agent Workflows
par: Zhao, Jiaxing, et autres
Publié: (2025)

RedDebate: Safer Responses Through Multi-Agent Red Teaming Debates
par: Asad, Ali, et autres
Publié: (2025)

Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
par: Xiong, Weimin, et autres
Publié: (2024)

Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline
par: Xu, Jiawei, et autres
Publié: (2026)

Red Teaming Visual Language Models
par: Li, Mukai, et autres
Publié: (2024)

Advancing Language Multi-Agent Learning with Credit Re-Assignment for Interactive Environment Generalization
par: He, Zhitao, et autres
Publié: (2025)

The Geometry of Dialogue: Graphing Language Models to Reveal Synergistic Teams for Multi-Agent Collaboration
par: Furuya, Kotaro, et autres
Publié: (2025)

Chasing the Public Score: User Pressure and Evaluation Exploitation in Coding Agent Workflows
par: Chen, Hardy, et autres
Publié: (2026)

Natural Language Tools: A Natural Language Approach to Tool Calling In Large Language Agents
par: Johnson, Reid T., et autres
Publié: (2025)

Empowering Working Memory for Large Language Model Agents
par: Guo, Jing, et autres
Publié: (2023)

Inference Compute-Optimal Video Vision Language Models
par: Wang, Peiqi, et autres
Publié: (2025)

NAT-NL2GQL: A Novel Multi-Agent Framework for Translating Natural Language to Graph Query Language
par: Liang, Yuanyuan, et autres
Publié: (2024)