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Showing 151–200 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
Prism: Unleashing GPU Sharing for Cost-Efficient Multi-LLM Serving—0
Decentralized Distributed Proximal Policy Optimization (DD-PPO) for High Performance Computing Scheduling on Multi-User Systems—0
Unraveling the Rainbow: can value-based methods schedule?Code0
Less is More: Efficient Weight Farcasting with 1-Layer Neural Network—0
Integrating Column Generation and Large Neighborhood Search for Bus Driver Scheduling with Complex Break Constraints—0
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning—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
Taming the Titans: A Survey of Efficient LLM Inference ServingCode1
semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified Storage—0
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
Tempo: Application-aware LLM Serving with Mixed SLO Requirements—0
STCL:Curriculum learning Strategies for deep learning image steganography modelsCode0
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
Self-Nomination: Deep Learning for Decentralized CSI Feedback Reduction in MU-MIMO Systems—0
Approximating Optimal Labelings for Temporal Connectivity—0
Comparative Analysis of Evolutionary Algorithms for Energy-Aware Production Scheduling—0
State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination—0
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation—0
Splitwiser: Efficient LM inference with constrained resourcesCode0
Fuzzy Logic -- Based Scheduling System for Part-Time Workforce—0
LithOS: An Operating System for Efficient Machine Learning on GPUs—0
Symmetry-Preserving Architecture for Multi-NUMA Environments (SPANE): A Deep Reinforcement Learning Approach for Dynamic VM Scheduling—0
Is Intelligence the Right Direction in New OS Scheduling for Multiple Resources in Cloud Environments?—0
PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities—0
Sensor Scheduling in Intrusion Detection Games with Uncertain Payoffs—0
LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks—0
Optimal Scheduling of Dynamic Transport—0
PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline—0
High-Throughput LLM inference on Heterogeneous Clusters—0
PV-VLM: A Multimodal Vision-Language Approach Incorporating Sky Images for Intra-Hour Photovoltaic Power Forecasting—0
Entropic Time Schedulers for Generative Diffusion Models—0
D^2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving—0
NNTile: a machine learning framework capable of training extremely large GPT language models on a single node—0
Predictive Multiplicity in Survival Models: A Method for Quantifying Model Uncertainty in Predictive Maintenance Applications—0
Battery-aware Cyclic Scheduling in Energy-harvesting Federated Learning—0
PGU-SGP: A Pheno-Geno Unified Surrogate Genetic Programming For Real-life Container Terminal Truck Scheduling—0
Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization ProblemsCode0
Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory ConstraintsCode4
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