Papers
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Hierarchy of extreme-event predictability in turbulence revealed by machine learning
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Greedy Information Projection for LLM Data Selection
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DeceptGuard :A Constitutional Oversight Framework For Detecting Deception in LLM Agents
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IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring
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GhanaNLP Parallel Corpora: Comprehensive Multilingual Resources for Low-Resource Ghanaian Languages
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Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and Expression
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PMIScore: An Unsupervised Approach to Quantify Dialogue Engagement
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Node Role-Guided LLMs for Dynamic Graph Clustering
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Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space
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ALTIS: Automated Loss Triage and Impact Scoring from Sentinel-1 SAR for Property-Level Flood Damage Assessment
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Prototypical Exemplar Condensation for Memory-efficient Online Continual Learning
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An Interpretable and Stable Framework for Sparse Principal Component Analysis
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Collapse or Preserve: Data-Dependent Temporal Aggregation for Spiking Neural Network Acceleration
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Artificial intelligence-driven improvement of hospital logistics management resilience: a practical exploration based on H Hospital
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PA-Net: Precipitation-Adaptive Mixture-of-Experts for Long-Tail Rainfall Nowcasting
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Evaluating Semantic Fragility in Text-to-Audio Generation Systems Under Controlled Prompt Perturbations
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Effective Sparsity: A Unified Framework via Normalized Entropy and the Effective Number of Nonzeros
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ArrayTac: A tactile display for simultaneous rendering of shape, stiffness and friction
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Early Rug Pull Warning for BSC Meme Tokens via Multi-Granularity Wash-Trading Pattern Profiling
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Efficient Semi-Automated Material Microstructure Analysis Using Deep Learning: A Case Study in Additive Manufacturing
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Intelligent Materials Modelling: Large Language Models Versus Partial Least Squares Regression for Predicting Polysulfone Membrane Mechanical Performance
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IdentityGuard: Context-Aware Restriction and Provenance for Personalized Synthesis
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MICRO: A Lightweight Middleware for Optimizing Cross-store Cross-model Graph-Relation Joins [Technical Report]
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Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving
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MOGeo: Beyond One-to-One Cross-View Object Geo-localization
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Is Seeing Believing? Evaluating Human Sensitivity to Synthetic Video
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Sirens' Whisper: Inaudible Near-Ultrasonic Jailbreaks of Speech-Driven LLMs
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Exploring the Dimensions of a Variational Neuron
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Fronto-parietal and fronto-temporal EEG coherence as predictive neuromarkers of transcutaneous auricular vagus nerve stimulation response in treatment-resistant schizophrenia: A machine learning study
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APEX-Searcher: Augmenting LLMs' Search Capabilities through Agentic Planning and Execution
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Power Term Polynomial Algebra for Boolean Logic
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VFM-Loc: Zero-Shot Cross-View Geo-Localization via Aligning Discriminative Visual Hierarchies
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OrigamiBench: An Interactive Environment to Synthesize Flat-Foldable Origamis
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Learning through Creation: A Hash-Free Framework for On-the-Fly Category Discovery
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Geo-ID: Test-Time Geometric Consensus for Cross-View Consistent Intrinsics
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Script-to-Slide Grounding: Grounding Script Sentences to Slide Objects for Automatic Instructional Video Generation
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Inevitable Encounters: Backdoor Attacks Involving Lossy Compression
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TransDex: Pre-training Visuo-Tactile Policy with Point Cloud Reconstruction for Dexterous Manipulation of Transparent Objects
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On Interpolation Formulas Describing Neural Network Generalization
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Zero-Forgetting CISS via Dual-Phase Cognitive Cascades
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Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs
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GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent
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Scribe Verification in Chinese manuscripts using Siamese, Triplet, and Vision Transformer Neural Networks
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Step-CoT: Stepwise Visual Chain-of-Thought for Medical Visual Question Answering
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Dual-Strategy Improvement of YOLOv11n for Multi-Scale Object Detection in Remote Sensing Images
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Benchmarking the Energy Cost of Assurance in Neuromorphic Edge Robotics
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SCoCCA: Multi-modal Sparse Concept Decomposition via Canonical Correlation Analysis
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Multi-Modal Character Localization and Extraction for Chinese Text Recognition
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Large Language Models Reproduce Racial Stereotypes When Used for Text Annotation
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UVLM: A Universal Vision-Language Model Loader for Reproducible Multimodal Benchmarking
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