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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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Robust Self-Training with Closed-loop Label Correction for Learning from Noisy Labels
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MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection
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CT-Conditioned Diffusion Prior with Physics-Constrained Sampling for PET Super-Resolution
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Distributed Acoustic Sensing for Urban Traffic Monitoring: Spatio-Temporal Attention in Recurrent Neural Networks
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Pixel-level Scene Understanding in One Token: Visual States Need What-is-Where Composition
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LineMaster Pro: A Low-Cost Intelligent Line Following Robot with PID Control and Ultrasonic Obstacle Avoidance for Educational Robotics
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FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data
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Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation
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AgriChat: A Multimodal Large Language Model for Agriculture Image Understanding
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The Phenomenology of Hallucinations
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Towards Stable Self-Supervised Object Representations in Unconstrained Egocentric Video
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Evaluation of Visual Place Recognition Methods for Image Pair Retrieval in 3D Vision and Robotics
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OpenCOOD-Air: Prompting Heterogeneous Ground-Air Collaborative Perception with Spatial Conversion and Offset Prediction
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Generative Inverse Design of Cold Metals for Low-Power Electronics
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SmoothVLA: Aligning Vision-Language-Action Models with Physical Constraints via Intrinsic Smoothness Optimization
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Close to Reality: Interpretable and Feasible Data Augmentation for Imbalanced Learning
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Discriminative Flow Matching Via Local Generative Predictors
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True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity
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OmniCompliance-100K: A Multi-Domain, Rule-Grounded, Real-World Safety Compliance Dataset
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Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMs
