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Showing 501–550 of 3104 papers

TitleStatusHype
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
Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization—0
Optimizing Age of Information in Networks with Large and Small Updates—0
TransMamba: Flexibly Switching between Transformer and Mamba—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
Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution—0
How do language models learn facts? Dynamics, curricula and hallucinations—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
Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs—0
Mining-Gym: A Configurable RL Benchmarking Environment for Truck Dispatch SchedulingCode0
EconEvals: Benchmarks and Litmus Tests for LLM Agents in Unknown Environments—0
DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds—0
Opportunistic Subarray Grouping for RIS-Aided Massive Random Access in Cellular Connectivity—0
Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization—0
Throughput Maximizing Takeoff Scheduling for eVTOL Vehicles in On-Demand Urban Air Mobility Systems—0
Intelligent Resource Allocation Optimization for Cloud Computing via Machine Learning—0
Improving the End-to-End Efficiency of Offline Inference for Multi-LLM Applications Based on Sampling and Simulation—0
TEMPLE:Temporal Preference Learning of Video LLMs via Difficulty Scheduling and Pre-SFT AlignmentCode0
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
Advancing MG Energy Management: A Rolling Horizon Optimization Framework for Three-Phase Unbalanced Networks Integrating Convex Formulations—0
Exploring Large Language Models for Word Games:Who is the Spy?Code0
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
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
Context-aware Constrained Reinforcement Learning Based Energy-Efficient Power Scheduling for Non-stationary XR Data Traffic—0
Priority-Aware Preemptive Scheduling for Mixed-Priority Workloads in MoE Inference—0
Combinatorial Optimization via LLM-driven Iterated Fine-tuning—0
DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems—0
eMoE: Task-aware Memory Efficient Mixture-of-Experts-Based (MoE) Model Inference—0
Neural Combinatorial Optimization via Preference Optimization—0
Queueing, Predictions, and LLMs: Challenges and Open Problems—0
Optimizing Minimum Vertex Cover Solving via a GCN-assisted Heuristic Algorithm—0
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