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Context-Aware Sensor Modeling for Asynchronous Multi-Sensor Tracking in Stone Soup
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Clinical Priors Guided Lung Disease Detection in 3D CT Scans
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Accelerating Byzantine-Robust Distributed Learning with Compressed Communication via Double Momentum and Variance Reduction
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SNCE: Geometry-Aware Supervision for Scalable Discrete Image Generation
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TextOVSR: Text-Guided Real-World Opera Video Super-Resolution
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Vision-Language Model Based Multi-Expert Fusion for CT Image Classification
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Storage and selection of multiple chaotic attractors in minimal reservoir computers
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Point-Identification of a Robust Predictor Under Latent Shift with Imperfect Proxies
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To See is Not to Master: Teaching LLMs to Use Private Libraries for Code Generation
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HindSight: Evaluating LLM-Generated Research Ideas via Future Impact
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DAIT: Distillation from Vision-Language Models to Lightweight Classifiers with Adaptive Intermediate Teacher Transfer
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Question-guided Visual Compression with Memory Feedback for Long-Term Video Understanding
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Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control
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Sequential Transport for Causal Mediation Analysis
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Token Coherence: Adapting MESI Cache Protocols to Minimize Synchronization Overhead in Multi-Agent LLM Systems
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CATFormer: When Continual Learning Meets Spiking Transformers With Dynamic Thresholds
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What Matters for Scalable and Robust Learning in End-to-End Driving Planners?
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The Hrunting of AI: Where and How to Improve English Dialectal Fairness
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Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks
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The Sampling Complexity of Condorcet Winner Identification in Dueling Bandits
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PiGRAND: Physics-informed Graph Neural Diffusion for Intelligent Additive Manufacturing
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Massive Redundancy in Gradient Transport Enables Sparse Online Learning
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Joint Optimization of Storage and Loading for High-Performance 3D Point Cloud Data Processing
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Geometric framework for biological evolution
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Efficient Document Parsing via Parallel Token Prediction
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Mamba-3: Improved Sequence Modeling using State Space Principles
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HorizonMath: Measuring AI Progress Toward Mathematical Discovery with Automatic Verification
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Attention Residuals
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Deep probabilistic model synthesis enables unified modeling of whole-brain neural activity across individual subjects
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Beyond Means: Topological Causal Effects under Persistent-Homology Ignorability
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TACTIC for Navigating the Unknown: Tabular Anomaly deteCTion via In-Context inference
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Balancing Multimodal Domain Generalization via Gradient Modulation and Projection
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BluRef: Unsupervised Image Deblurring with Dense-Matching References
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Artificial intelligence-enabled single-lead ECG for non-invasive hyperkalemia detection: development, multicenter validation, and proof-of-concept deployment
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Selective Fine-Tuning of GPT Architectures for Parameter-Efficient Clinical Text Classification
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Deeper Thought, Weaker Aim: Understanding and Mitigating Perceptual Impairment during Reasoning in Multimodal Large Language Models
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Relationship-Aware Safety Unlearning for Multimodal LLMs
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Fair Benchmarking of Emerging One-Step Generative Models Against Multistep Diffusion and Flow Models
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Deep Learning From Routine Histology Improves Risk Stratification for Biochemical Recurrence in Prostate Cancer
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Joint Segmentation and Grading with Iterative Optimization for Multimodal Glaucoma Diagnosis
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Walking Further: Semantic-aware Multimodal Gait Recognition Under Long-Range Conditions
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Flood Risk Follows Valleys, Not Grids: Graph Neural Networks for Flash Flood Susceptibility Mapping in Himachal Pradesh with Conformal Uncertainty Quantification
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Efficient Federated Conformal Prediction with Group-Conditional Guarantees
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Selective Noise Suppression and Discriminative Mutual Interaction for Robust Audio-Visual Segmentation
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DualTSR: Unified Dual-Diffusion Transformer for Scene Text Image Super-Resolution
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ChArtist: Generating Pictorial Charts with Unified Spatial and Subject Control
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Vavanagi: a Community-run Platform for Documentation of the Hula Language in Papua New Guinea
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Memory as Asset: From Agent-centric to Human-centric Memory Management
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Cryptographic Runtime Governance for Autonomous AI Systems: The Aegis Architecture for Verifiable Policy Enforcement
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UniFusion: A Unified Image Fusion Framework with Robust Representation and Source-Aware Preservation
