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Showing 151–175 of 3104 papers

TitleStatusHype
Technology prediction of a 3D model using Neural Network—0
TeleEval-OS: Performance evaluations of large language models for operations scheduling—0
RAN Cortex: Memory-Augmented Intelligence for Context-Aware Decision-Making in AI-Native Networks—0
Decentralized Distributed Proximal Policy Optimization (DD-PPO) for High Performance Computing Scheduling on Multi-User Systems—0
Prism: Unleashing GPU Sharing for Cost-Efficient Multi-LLM Serving—0
Unraveling the Rainbow: can value-based methods schedule?Code0
Less is More: Efficient Weight Farcasting with 1-Layer Neural Network—0
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning—0
Integrating Column Generation and Large Neighborhood Search for Bus Driver Scheduling with Complex Break Constraints—0
World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks—0
Neural Orchestration for Multi-Agent Systems: A Deep Learning Framework for Optimal Agent Selection in Multi-Domain Task Environments—0
Patchwork: A Unified Framework for RAG Serving—0
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers—0
Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning—0
Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production—0
semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified Storage—0
Taming the Titans: A Survey of Efficient LLM Inference ServingCode1
Swapped Logit Distillation via Bi-level Teacher AlignmentCode0
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers—0
BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement LearningCode0
Renewable-Colocated Green Hydrogen Production: Optimal Scheduling and Profitability—0
STCL:Curriculum learning Strategies for deep learning image steganography modelsCode0
Tempo: Application-aware LLM Serving with Mixed SLO Requirements—0
An approach based on metaheuristic algorithms to the timetabling problem in deregulated railway markets—0
OptimAI: Optimization from Natural Language Using LLM-Powered AI Agents—0
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