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Showing 2401–2425 of 3104 papers

TitleStatusHype
Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning—0
PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities—0
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models—0
Planning and Learning: Path-Planning for Autonomous Vehicles, a Review of the Literature—0
Planning and Learning in Risk-Aware Restless Multi-Arm Bandit Problem—0
Planning and Scheduling in Digital Health with Answer Set Programming—0
Planning based on classification by induction graph—0
Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization—0
Planning, Scheduling, and Uncertainty in the Sequence of Future Events—0
Platform-Independent and Curriculum-Oriented Intelligent Assistant for Higher Education—0
PLM-Based Discrete Diffusion Language Models with Entropy-Adaptive Gibbs Sampling—0
P-MOSS: Learned Scheduling For Indexes Over NUMA Servers Using Low-Level Hardware Statistics—0
Policy Gradient Reinforcement Learning for Uncertain Polytopic LPV Systems based on MHE-MPC—0
PolyTOPS: Reconfigurable and Flexible Polyhedral Scheduler—0
PopSGD: Decentralized Stochastic Gradient Descent in the Population Model—0
PORCA: Root Cause Analysis with Partially Observed Data—0
Power Control and Scheduling In Low SNR Region In The Uplink of Two Cell Networks—0
Practical Framework for Problem-Based Learning in an Introductory Circuit Analysis Course—0
Predicting batch queue job wait times for informed scheduling of urgent HPC workloads—0
Predicting Berth Stay for Tanker Terminals: A Systematic and Dynamic Approach—0
Predicting Next Useful Location With Context-Awareness: The State-Of-The-Art—0
Predicting Recall Probability to Adaptively Prioritize Study—0
Predicting Session Length in Media Streaming—0
Predicting Surgery Duration with Neural Heteroscedastic Regression—0
Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services—0
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