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New papers, breakthroughs and academic AI research
Rethinking Next-Visit Diagnosis Prediction Beyond Aggregate Metrics: Retrieval--Memory Multi-Agent Adjudication
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Physics-Informed Functional Tucker Method with RKHS Factors for Sparse Spatiotemporal Reconstruction
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Latent Cluster Separation as a Regularizer for Lifelong Anomaly Detection
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Beyond Proposals: Region-Consistent Open-Set Object Detection
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Four Extensions of the Universal Law of Robustness: Log-Concave Covariates, Heterogeneous Mixtures, Vector-Valued Predictors, and Markovian Data
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FlowRig: Unified Skeleton Generation for 3D and 4D Meshes via Flow Matching
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Geometric Refinement and Distributional Alignment for Sim2Real Roadside LiDAR Detection
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Towards Automatic Heart Murmur Characterization from Multi-spot Phonocardiograms
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FlowBench: Counterfactual Imagination Training for Spatial Intelligence
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Balancing Chain-of-Thought and Answer Supervision for Small Language Models on Medical Question Answering
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Compression Forcing: Hierarchical History Tokenization Enables Flexible World Models
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