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Comparative Analysis of 3D Convolutional and 2.5D Slice-Conditioned U-Net Architectures for MRI Super-Resolution via Elucidated Diffusion Models
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RenderMem: Rendering as Spatial Memory Retrieval
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Seamless Deception: Larger Language Models Are Better Knowledge Concealers
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A Single-Sample Polylogarithmic Regret Bound for Nonstationary Online Linear Programming
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Computational Analysis of Semantic Connections Between Herman Melville Reading and Writing
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FMS$^2$: Unified Flow Matching for Segmentation and Synthesis of Thin Structures
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Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision
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Noticing the Watcher: LLM Agents Can Infer CoT Monitoring from Blocking Feedback
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PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers
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Unsupervised Adaptation from FDG to PSMA PET/CT for 3D Lesion Detection under Label Shift
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TSDCRF: Balancing Privacy and Multi-Object Tracking via Time-Series CRF and Normalized Control Penalty
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SHAMISA: SHAped Modeling of Implicit Structural Associations for Self-supervised No-Reference Image Quality Assessment
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MHPO: Modulated Hazard-aware Policy Optimization for Stable Reinforcement Learning
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LLM-MINE: Large Language Model based Alzheimer's Disease and Related Dementias Phenotypes Mining from Clinical Notes
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Locally Linear Continual Learning for Time Series based on VC-Theoretical Generalization Bounds
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TheraAgent: Multi-Agent Framework with Self-Evolving Memory and Evidence-Calibrated Reasoning for PET Theranostics
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Toward Scalable Co-located Practical Learning: Assisting with Computer Vision and Multimodal Analytics
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Every Error has Its Magnitude: Asymmetric Mistake Severity Training for Multiclass Multiple Instance Learning
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Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation
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$τ$-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains
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When Should Humans Step In? Optimal Human Dispatching in AI-Assisted Decisions
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Quantum-Enhanced Vision Transformer for Flood Detection using Remote Sensing Imagery
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QuarkMedBench: A Real-World Scenario Driven Benchmark for Evaluating Large Language Models
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Steering Generative Models for Accessibility: EasyRead Image Generation
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Repetition Without Exclusivity: Scale Sensitivity of Referential Mechanisms in Child-Scale Language Models
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SAATT Nav: a Socially Aware Autonomous Transparent Transportation Navigation Framework for Wheelchairs
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Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition
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REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning
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RSEdit: Text-Guided Image Editing for Remote Sensing
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REAEDP: Entropy-Calibrated Differentially Private Data Release with Formal Guarantees and Attack-Based Evaluation
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InterventionLens: A Multi-Agent Framework for Detecting ASD Intervention Strategies in Parent-Child Shared Reading
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Sparse-Dense Mixture of Experts Adapter for Multi-Modal Tracking
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Facial beauty prediction fusing transfer learning and broad learning system
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Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality
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Data-driven Progressive Discovery of Physical Laws
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Bodhi VLM: Privacy-Alignment Modeling for Hierarchical Visual Representations in Vision Backbones and VLM Encoders via Bottom-Up and Top-Down Feature Search
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R3-REC: Reasoning-Driven Recommendation via Retrieval-Augmented LLMs over Multi-Granular Interest Signals
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Implicit Maximum Likelihood Estimation for Real-time Generative Model Predictive Control
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UniVid: Pyramid Diffusion Model for High Quality Video Generation
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Sky2Ground: A Benchmark for Site Modeling under Varying Altitude
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Ego-1K -- A Large-Scale Multiview Video Dataset for Egocentric Vision
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Few Batches or Little Memory, But Not Both: Simultaneous Space and Adaptivity Constraints in Stochastic Bandits
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Research Paradigm of Materials Science Tetrahedra with Artificial Intelligence
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Multi-Object Advertisement Creative Generation
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Sub-Band Spectral Matching with Localized Score Aggregation for Robust Anomalous Sound Detection
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Spectral Edge Dynamics of Training Trajectories: Signal--Noise Geometry Across Scales
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Manifold-Orthogonal Dual-spectrum Extrapolation for Parameterized Physics-Informed Neural Networks
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MeTok: An Efficient Meteorological Tokenization with Hyper-Aligned Group Learning for Precipitation Nowcasting
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Exploration-assisted Bottleneck Transition Toward Robust and Data-efficient Deformable Object Manipulation
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QTrack: Query-Driven Reasoning for Multi-modal MOT
