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Distribution and Clusters Approximations as Abstract Domains in Probabilistic Abstract Interpretation to Neural Network Analysis
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V2U4Real: A Real-world Large-scale Dataset for Vehicle-to-UAV Cooperative Perception
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A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion
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SliderQuant: Accurate Post-Training Quantization for LLMs
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CSI-tuples-based 3D Channel Fingerprints Construction Assisted by MultiModal Learning
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Revealing the influence of participant failures on model quality in cross-silo Federated Learning
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DAGverse: Building Document-Grounded Semantic DAGs from Scientific Papers
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Towards Controllable Low-Light Image Enhancement: A Continuous Multi-illumination Dataset and Efficient State Space Framework
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Separate Before You Compress: The WWHO Tokenization Architecture
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Practical Efficient Global Optimization is No-regret
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Adaptive Learned Image Compression with Graph Neural Networks
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AD-CARE: A Guideline-grounded, Modality-agnostic LLM Agent for Real-world Alzheimer's Disease Diagnosis with Multi-cohort Assessment, Fairness Analysis, and Reader Study
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How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
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Evaluating Language Models for Harmful Manipulation
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Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles
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Beyond Detection: Rethinking Education in the Age of AI-writing
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Adaptive Chunking: Optimizing Chunking-Method Selection for RAG
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Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks
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HeSS: Head Sensitivity Score for Sparsity Redistribution in VGGT
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Large Language Model as Token Compressor and Decompressor
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From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents
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GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring
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Design and Development of an ML/DL Attack Resistance of RC-Based PUF for IoT Security
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Image Rotation Angle Estimation: Comparing Circular-Aware Methods
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4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles
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InstanceAnimator: Multi-Instance Sketch Video Colorization
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Integrating Deep RL and Bayesian Inference for ObjectNav in Mobile Robotics
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A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems
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Hessian-informed machine learning interatomic potential towards bridging theory and experiments
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Supercharging Federated Intelligence Retrieval
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Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study of 5W3H Prompting
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Enabling ab initio geometry optimization of strongly correlated systems with transferable deep quantum Monte Carlo
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CLIP-RD: Relational Distillation for Efficient CLIP Knowledge Distillation
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GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs
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Multimodal Dataset Distillation via Phased Teacher Models
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FSGNet: A Frequency-Aware and Semantic Guidance Network for Infrared Small Target Detection
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A Causal Framework for Evaluating ICU Discharge Strategies
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PMT: Plain Mask Transformer for Image and Video Segmentation with Frozen Vision Encoders
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LaMP: Learning Vision-Language-Action Policies with 3D Scene Flow as Latent Motion Prior
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Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language Models
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System Design for Maintaining Internal State Consistency in Long-Horizon Robotic Tabletop Games
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HiSpatial: Taming Hierarchical 3D Spatial Understanding in Vision-Language Models
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SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised Blind Source Separation
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Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models
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Decidable By Construction: Design-Time Verification for Trustworthy AI
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Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation
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TAPO: Translation Augmented Policy Optimization for Multilingual Mathematical Reasoning
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VideoWeaver: Multimodal Multi-View Video-to-Video Transfer for Embodied Agents
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Navigating the Prompt Space: Improving LLM Classification of Social Science Texts Through Prompt Engineering
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From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild
