Image de couverture de livre

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	He, Zijian, Abhyankar, Reyna, Srivatsa, Vikranth, Zhang, Yiying
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Multiagent Systems
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

OSWorld-Human: Benchmarking the Efficiency of Computer-Use Agents
par: Abhyankar, Reyna, et autres
Publié: (2025)

Preble: Efficient Distributed Prompt Scheduling for LLM Serving
par: Srivatsa, Vikranth, et autres
Publié: (2024)

InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
par: Abhyankar, Reyna, et autres
Publié: (2024)

Flow: Modularized Agentic Workflow Automation
par: Niu, Boye, et autres
Publié: (2025)

Talk Freely, Execute Strictly: Schema-Gated Agentic AI for Flexible and Reproducible Scientific Workflows
par: Strickland, Joel, et autres
Publié: (2026)

Bounded Coupled AI Learning Dynamics in Tri-Hierarchical Drone Swarms
par: Bychkov, Oleksii
Publié: (2026)

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
par: Han, Dongge, et autres
Publié: (2025)

SkillGen: Verified Inference-Time Agent Skill Synthesis
par: Ma, Yuchen, et autres
Publié: (2026)

Triple-BERT: Do We Really Need MARL for Order Dispatch on Ride-Sharing Platforms?
par: Zhao, Zijian, et autres
Publié: (2025)

GLOW: Graph-Language Co-Reasoning for Agentic Workflow Performance Prediction
par: Guan, Wei, et autres
Publié: (2025)

A Hierarchical Hybrid AI Approach: Integrating Deep Reinforcement Learning and Scripted Agents in Combat Simulations
par: Black, Scotty, et autres
Publié: (2025)

HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI Gym
par: La, Ngoc, et autres
Publié: (2025)

TacticGen: Grounding Adaptable and Scalable Generation of Football Tactics
par: Xu, Sheng, et autres
Publié: (2026)

Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus
par: Zhao, Zijian, et autres
Publié: (2026)

PLAICraft: Large-Scale Time-Aligned Vision-Speech-Action Dataset for Embodied AI
par: He, Yingchen, et autres
Publié: (2025)

Learn as Individuals, Evolve as a Team: Multi-agent LLMs Adaptation in Embodied Environments
par: Li, Xinran, et autres
Publié: (2025)

Thought Communication in Multiagent Collaboration
par: Zheng, Yujia, et autres
Publié: (2025)

CHAL: Council of Hierarchical Agentic Language
par: Giovannelli, Tommaso, et autres
Publié: (2026)

A Hierarchical Deep Reinforcement Learning Framework for Traffic Signal Control with Predictable Cycle Planning
par: Gu, Hankang, et autres
Publié: (2025)

Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems
par: Hu, Liyuan
Publié: (2025)

Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
par: Seo, Sangwon, et autres
Publié: (2025)

How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs
par: Estornell, Andrew, et autres
Publié: (2025)

Learning to Compose for Cross-domain Agentic Workflow Generation
par: Wang, Jialiang, et autres
Publié: (2026)

Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
par: Wang, Zhao, et autres
Publié: (2025)

A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems
par: Chen, Siyuan, et autres
Publié: (2024)

Aligning Compound AI Systems via System-level DPO
par: Wang, Xiangwen, et autres
Publié: (2025)

A Comprehensive Review of AI Agents: Transforming Possibilities in Technology and Beyond
par: Qu, Xiaodong, et autres
Publié: (2025)

Moving Out: Physically-grounded Human-AI Collaboration
par: Kang, Xuhui, et autres
Publié: (2025)

Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing
par: Farahani, Mojtaba A., et autres
Publié: (2025)

pAI/MSc: ML Theory Research with Humans on the Loop
par: Abdelmoneum, Mahmoud, et autres
Publié: (2026)

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review
par: Wu, Di, et autres
Publié: (2025)

Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming
par: Bhambri, Siddhant, et autres
Publié: (2023)

Generative AI Against Poaching: Latent Composite Flow Matching for Wildlife Conservation
par: Kong, Lingkai, et autres
Publié: (2025)

Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective
par: Raj, Ritik, et autres
Publié: (2025)

PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
par: Song, Yiwen, et autres
Publié: (2026)

Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
par: Covone, Stefano, et autres
Publié: (2025)

Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
par: Yan, Zijiang, et autres
Publié: (2026)

EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks
par: Ray, Abir
Publié: (2025)

EngiAI: A Multi-Agent Framework and Benchmark Suite for LLM-Driven Engineering Design
par: Molinari, Gioele, et autres
Publié: (2026)

Steering No-Regret Agents in MFGs under Model Uncertainty
par: Widmer, Leo, et autres
Publié: (2025)