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Showing 251–300 of 3104 papers

TitleStatusHype
Mining-Gym: A Configurable RL Benchmarking Environment for Truck Dispatch SchedulingCode0
Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-OptimizationCode1
DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds—0
EconEvals: Benchmarks and Litmus Tests for LLM Agents in Unknown Environments—0
Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization—0
Opportunistic Subarray Grouping for RIS-Aided Massive Random Access in Cellular Connectivity—0
Intelligent Resource Allocation Optimization for Cloud Computing via Machine Learning—0
TEMPLE:Temporal Preference Learning of Video LLMs via Difficulty Scheduling and Pre-SFT AlignmentCode0
Throughput Maximizing Takeoff Scheduling for eVTOL Vehicles in On-Demand Urban Air Mobility Systems—0
Improving the End-to-End Efficiency of Offline Inference for Multi-LLM Applications Based on Sampling and Simulation—0
Predictive Maintenance of Electric Motors Using Supervised Learning Models: A Comparative Analysis—0
Age of Information in Multi-Relay Networks with Maximum Age Scheduling—0
Active management of battery degradation in wireless sensor network using deep reinforcement learning for group battery replacement—0
Exploring Large Language Models for Word Games:Who is the Spy?Code0
SkyLadder: Better and Faster Pretraining via Context Window SchedulingCode1
Advancing MG Energy Management: A Rolling Horizon Optimization Framework for Three-Phase Unbalanced Networks Integrating Convex Formulations—0
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models—0
Send Pilot or Data? Leveraging Age of Channel State Information for Throughput Maximization—0
Robust Co-Optimization of Distribution Network Hardening and Mobile Resource Scheduling with Decision-Dependent Uncertainty—0
PIPO: Pipelined Offloading for Efficient Inference on Consumer Devices—0
A Profit Sharing Mechanism for Coordinated Power Traffic System—0
Exergy Battery Modeling and P2P Trading Based Optimal Operation of Virtual Energy Station—0
Cost-effective Deep Learning Infrastructure with NVIDIA GPUCode0
FlowTok: Flowing Seamlessly Across Text and Image TokensCode5
Resource Heterogeneity-Aware and Utilization-Enhanced Scheduling for Deep Learning Clusters—0
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes—0
Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion—0
Collaborative Speculative Inference for Efficient LLM Inference Serving—0
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
Priority-Aware Preemptive Scheduling for Mixed-Priority Workloads in MoE Inference—0
Context-aware Constrained Reinforcement Learning Based Energy-Efficient Power Scheduling for Non-stationary XR Data Traffic—0
DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems—0
Neural Combinatorial Optimization via Preference Optimization—0
eMoE: Task-aware Memory Efficient Mixture-of-Experts-Based (MoE) Model Inference—0
Combinatorial Optimization via LLM-driven Iterated Fine-tuning—0
Queueing, Predictions, and LLMs: Challenges and Open Problems—0
Optimizing Minimum Vertex Cover Solving via a GCN-assisted Heuristic Algorithm—0
Seesaw: High-throughput LLM Inference via Model Re-sharding—0
Pull-Based Query Scheduling for Goal-Oriented Semantic Communication—0
A Novel Distributed PV Power Forecasting Approach Based on Time-LLM—0
Momentum-based Distributed Resource Scheduling Optimization Subject to Sector-Bound Nonlinearity and Latency—0
Data-Driven Decision Making for Enhancing Small-Signal Stability in Hybrid AC/DC Grids Through Converter Control Role Assignment—0
Environment-Aware Scheduling of URLLC and Sensing Services for Smart Industries—0
Object Packing and Scheduling for Sequential 3D Printing: a Linear Arithmetic Model and a CEGAR-inspired Optimal Solver—0
Evaluation of 3D Terrestrial and Aerial Spectrum Sharing with Massive MIMO Systems—0
Learning Wideband User Scheduling and Hybrid Precoding with Graph Neural Networks—0
Proactive Robust Hardening of Resilient Power Distribution Network: Decision-Dependent Uncertainty Modeling and Fast Solution Strategy—0
Speculative MoE: Communication Efficient Parallel MoE Inference with Speculative Token and Expert Pre-scheduling—0
Pretrained LLMs as Real-Time Controllers for Robot Operated Serial Production Line—0
Variance-Aware Loss Scheduling for Multimodal Alignment in Low-Data Settings—0
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