CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Yiming, Tang, Jiwei, Di, Shimin, Zheng, Libin, Yu, Jianxing, Yin, Jian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation
by: Yuan, Xujie, et al.
Published: (2025)
by: Yuan, Xujie, et al.
Published: (2025)
Plan-over-Graph: Towards Parallelable LLM Agent Schedule
by: Zhang, Shiqi, et al.
Published: (2025)
by: Zhang, Shiqi, et al.
Published: (2025)
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
by: Qiu, Keyue, et al.
Published: (2025)
by: Qiu, Keyue, et al.
Published: (2025)
Differentiable Combinatorial Scheduling at Scale
by: Liu, Mingju, et al.
Published: (2024)
by: Liu, Mingju, et al.
Published: (2024)
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks
by: Xia, Youhua, et al.
Published: (2024)
by: Xia, Youhua, et al.
Published: (2024)
When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling
by: Wang, Ziqi, et al.
Published: (2026)
by: Wang, Ziqi, et al.
Published: (2026)
Towards Agentic OS: An LLM Agent Framework for Linux Schedulers
by: Zheng, Yusheng, et al.
Published: (2025)
by: Zheng, Yusheng, et al.
Published: (2025)
Automated Conversion of Static to Dynamic Scheduler via Natural Language
by: Tang, Paul Mingzheng, et al.
Published: (2024)
by: Tang, Paul Mingzheng, et al.
Published: (2024)
LLMs can Schedule
by: Abgaryan, Henrik, et al.
Published: (2024)
by: Abgaryan, Henrik, et al.
Published: (2024)
Optimal Linear Decay Learning Rate Schedules and Further Refinements
by: Defazio, Aaron, et al.
Published: (2023)
by: Defazio, Aaron, et al.
Published: (2023)
ExpertFlow: Efficient Mixture-of-Experts Inference via Predictive Expert Caching and Token Scheduling
by: He, Xin, et al.
Published: (2024)
by: He, Xin, et al.
Published: (2024)
SigmaScheduling: Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions
by: Gazi, Asim H., et al.
Published: (2025)
by: Gazi, Asim H., et al.
Published: (2025)
CoBOS: Constraint-Based Online Scheduler for Human-Robot Collaboration
by: Ionova, Marina, et al.
Published: (2024)
by: Ionova, Marina, et al.
Published: (2024)
Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration
by: Zhang, Zuyuan, et al.
Published: (2025)
by: Zhang, Zuyuan, et al.
Published: (2025)
Differentiable Initialization-Accelerated CPU-GPU Hybrid Combinatorial Scheduling
by: Liu, Mingju, et al.
Published: (2026)
by: Liu, Mingju, et al.
Published: (2026)
Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling
by: Li, Yan, et al.
Published: (2025)
by: Li, Yan, et al.
Published: (2025)
Scheduling Your LLM Reinforcement Learning with Reasoning Trees
by: Wang, Hong, et al.
Published: (2025)
by: Wang, Hong, et al.
Published: (2025)
Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation
by: Yuan, Xujie, et al.
Published: (2025)
by: Yuan, Xujie, et al.
Published: (2025)
Imitation Learning from Observation with Automatic Discount Scheduling
by: Liu, Yuyang, et al.
Published: (2023)
by: Liu, Yuyang, et al.
Published: (2023)
Demystifying Reinforcement Learning in Production Scheduling via Explainable AI
by: Fischer, Daniel, et al.
Published: (2024)
by: Fischer, Daniel, et al.
Published: (2024)
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling
by: Fang, Wenxuan, et al.
Published: (2024)
by: Fang, Wenxuan, et al.
Published: (2024)
Investigation of the Generalisation Ability of Genetic Programming-evolved Scheduling Rules in Dynamic Flexible Job Shop Scheduling
by: Zhu, Luyao, et al.
Published: (2026)
by: Zhu, Luyao, et al.
Published: (2026)
PyCSP3-Scheduling: A Scheduling Extension for PyCSP3
by: Afifi, Sohaib
Published: (2026)
by: Afifi, Sohaib
Published: (2026)
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
by: Tang, Yu, et al.
Published: (2026)
by: Tang, Yu, et al.
Published: (2026)
ALISE: Accelerating Large Language Model Serving with Speculative Scheduling
by: Zhao, Youpeng, et al.
Published: (2024)
by: Zhao, Youpeng, et al.
Published: (2024)
Heterogeneous Learning Rate Scheduling for Neural Architecture Search on Long-Tailed Datasets
by: Tang, Chenxia
Published: (2024)
by: Tang, Chenxia
Published: (2024)
HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling
by: Zhao, Xiaochen, et al.
Published: (2026)
by: Zhao, Xiaochen, et al.
Published: (2026)
Solving the Aircraft Disassembly Scheduling Problem
by: Thomas, Charles, et al.
Published: (2026)
by: Thomas, Charles, et al.
Published: (2026)
CoRaiS: Lightweight Real-Time Scheduler for Multi-Edge Cooperative Computing
by: Hu, Yujiao, et al.
Published: (2024)
by: Hu, Yujiao, et al.
Published: (2024)
Topology-aware Preemptive Scheduling for Co-located LLM Workloads
by: Zhang, Ping, et al.
Published: (2024)
by: Zhang, Ping, et al.
Published: (2024)
Structure-Enhanced DRL for Optimal Transmission Scheduling
by: Chen, Jiazheng, et al.
Published: (2022)
by: Chen, Jiazheng, et al.
Published: (2022)
Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning
by: Zhou, Jiahui, et al.
Published: (2026)
by: Zhou, Jiahui, et al.
Published: (2026)
Bottleneck Identification in Resource-Constrained Project Scheduling via Constraint Relaxation
by: Nedbálek, Lukáš, et al.
Published: (2025)
by: Nedbálek, Lukáš, et al.
Published: (2025)
HGT-Scheduler: Deep Reinforcement Learning for the Job Shop Scheduling Problem via Heterogeneous Graph Transformers
by: Soykan, Bulent
Published: (2026)
by: Soykan, Bulent
Published: (2026)
SOAR: Real-Time Joint Optimization of Order Allocation and Robot Scheduling in Robotic Mobile Fulfillment Systems
by: Tang, Yibang, et al.
Published: (2026)
by: Tang, Yibang, et al.
Published: (2026)
ScheduleFree+: Scaling Learning-Rate-Free & Schedule-Free Learning to Large Language Models
by: Defazio, Aaron
Published: (2026)
by: Defazio, Aaron
Published: (2026)
ScheduleMe: Multi-Agent Calendar Assistant
by: Wijerathne, Oshadha, et al.
Published: (2025)
by: Wijerathne, Oshadha, et al.
Published: (2025)
Predict+Optimize Problem in Renewable Energy Scheduling
by: Bergmeir, Christoph, et al.
Published: (2022)
by: Bergmeir, Christoph, et al.
Published: (2022)
Quantum-Assisted Optimal Rebalancing with Uncorrelated Asset Selection for Algorithmic Trading Walk-Forward QUBO Scheduling via QAOA
by: Weinberg, Abraham Itzhak
Published: (2026)
by: Weinberg, Abraham Itzhak
Published: (2026)
Temporal-IRL: Modeling Port Congestion and Berth Scheduling with Inverse Reinforcement Learning
by: Li, Guo, et al.
Published: (2025)
by: Li, Guo, et al.
Published: (2025)
Similar Items
-
A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation
by: Yuan, Xujie, et al.
Published: (2025) -
Plan-over-Graph: Towards Parallelable LLM Agent Schedule
by: Zhang, Shiqi, et al.
Published: (2025) -
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
by: Qiu, Keyue, et al.
Published: (2025) -
Differentiable Combinatorial Scheduling at Scale
by: Liu, Mingju, et al.
Published: (2024) -
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks
by: Xia, Youhua, et al.
Published: (2024)