Examining Two Hop Reasoning Through Information Content Scaling https://arxiv.org/abs/2502.03490 #cs.AI #cs.LG
Teaching Language Models to Critique via Reinforcement Learning https://arxiv.org/abs/2502.03492 #cs.LG #cs.AI #cs.CL
Optimistic {\epsilon}-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning https://arxiv.org/abs/2502.03506 #cs.MA #cs.LG
Mapping and Localization Using LiDAR Fiducial Markers https://arxiv.org/abs/2502.03510 #cs.CV
A Paradigm Shift to Assembly-like Finite Element Model Updating https://arxiv.org/abs/2502.02592 #cs.CE
Reconstructing 3D Flow from 2D Data with Diffusion Transformer https://arxiv.org/abs/2502.02593 #physics.flu-dyn #cs.CE #cs.AI
Offshore Wind Turbine Tower Design and Optimization: A Review and AI-Driven Future Directions https://arxiv.org/abs/2502.02594 #eess.SY #cs.CE #cs.SY
A Quasi-Optimal Shape Design Method for Lattice Structure Construction https://arxiv.org/abs/2502.02602 #math.OC #cs.CE
Physically Interpretable Representation and Controlled Generation for Turbulence Data https://arxiv.org/abs/2502.02605 #physics.comp-ph #physics.flu-dyn #cs.CE #cs.LG
Carbon Per Transistor (CPT): The Golden Formula for Green Computing Metrics https://arxiv.org/abs/2502.02606 #cond-mat.mtrl-sci #cs.OH
MIND: Microstructure INverse Design with Generative Hybrid Neural Representation https://arxiv.org/abs/2502.02607 #cs.CV #cs.GR #cs.LG
Secure & Personalized Music-to-Video Generation via CHARCHA https://arxiv.org/abs/2502.02610 #cs.AI #cs.CV #cs.HC #cs.MM
PolarQuant: Quantizing KV Caches with Polar Transformation https://arxiv.org/abs/2502.02617 #cs.LG #cs.AI
FruitPAL: An IoT-Enabled Framework for Automatic Monitoring of Fruit Consumption in Smart Healthcare https://arxiv.org/abs/2502.01643 #cs.CV
AI Load Dynamics--A Power Electronics Perspective https://arxiv.org/abs/2502.01647 #cs.AR #cs.PF
UA-1 PH2 DECISIVE Testing Handbook: Test Methods and Benchmarking Performance Results for sUAS in Dense Urban Environments https://arxiv.org/abs/2502.01648 #eess.SY #cs.RO #cs.SY
Fine-tuning LLaMA 2 interference: a comparative study of language implementations for optimal efficiency https://arxiv.org/abs/2502.01651 #cs.LG #cs.AI
Hybrid Group Relative Policy Optimization: A Multi-Sample Approach to Enhancing Policy Optimization https://arxiv.org/abs/2502.01652 #cs.LG #cs.AI
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network https://arxiv.org/abs/2502.01654 #physics.ao-ph #cs.LG #cs.NE
A binary PSO based ensemble under-sampling model for rebalancing imbalanced training data https://arxiv.org/abs/2502.01655 #cs.LG #cs.AI #cs.NE
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