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Showing 226–250 of 3104 papers

TitleStatusHype
Improving Mixed-Criticality Scheduling with Reinforcement Learning—0
Accurate GPU Memory Prediction for Deep Learning Jobs through Dynamic Analysis—0
Performance-Aware Control of Modular Batteries For Fast Frequency Response—0
FlowKV: A Disaggregated Inference Framework with Low-Latency KV Cache Transfer and Load-Aware Scheduling—0
Secrecy Performance of a Keyhole-based Multi-user System with Multiple Eavesdroppers—0
Integrating Human Knowledge Through Action Masking in Reinforcement Learning for Operations Research—0
Enhanced Diffusion Sampling via Extrapolation with Multiple ODE SolutionsCode0
Personality-Driven Decision-Making in LLM-Based Autonomous Agents—0
Accelerating drug discovery with Artificial: a whole-lab orchestration and scheduling system for self-driving labs—0
Optimizing Age of Information in Networks with Large and Small Updates—0
AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real WorldCode2
TransMamba: Flexibly Switching between Transformer and Mamba—0
Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization—0
Machine Learning-assisted High-speed Combinatorial Optimization with Ising Machines for Dynamically Changing Problems—0
A Hybrid Reinforcement Learning Framework for Hard Latency Constrained Resource Scheduling—0
Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST—0
PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference—0
Niyama : Breaking the Silos of LLM Inference Serving—0
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting—0
How do language models learn facts? Dynamics, curricula and hallucinations—0
Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution—0
Exploration of Multi-Element Collaborative Research and Application for Modern Power System Based on Generative Large Models—0
β-GNN: A Robust Ensemble Approach Against Graph Structure PerturbationCode0
Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention DisaggregationCode1
Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs—0
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