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Bayesian Uncertainty-Aware MRI Reconstruction
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DirPA: Addressing Prior Shift in Imbalanced Few-shot Crop-type Classification
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Learning from Child-Directed Speech in Two-Language Scenarios: A French-English Case Study
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Improving Channel Estimation via Multimodal Diffusion Models with Flow Matching
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FedBPrompt: Federated Domain Generalization Person Re-Identification via Body Distribution Aware Visual Prompts
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Stake the Points: Structure-Faithful Instance Unlearning
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Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection
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VIRD: View-Invariant Representation through Dual-Axis Transformation for Cross-View Pose Estimation
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HMS-BERT: Hybrid Multi-Task Self-Training for Multilingual and Multi-Label Cyberbullying Detection
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Filtered Spectral Projection for Quantum Principal Component Analysis
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ODRL Policy Comparison Through Normalisation
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Rethinking VLMs for Image Forgery Detection and Localization
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DS$^2$-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction Tuning
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Efficient and Interpretable Multi-Agent LLM Routing via Ant Colony Optimization
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MotionAnymesh: Physics-Grounded Articulation for Simulation-Ready Digital Twins
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SGMatch: Semantic-Guided Non-Rigid Shape Matching with Flow Regularization
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Thinking in Streaming Video
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Reinforcing the Weakest Links: Modernizing SIENA with Targeted Deep Learning Integration
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Delta1 with LLM: symbolic and neural integration for credible and explainable reasoning
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NormCode Canvas: Making LLM Agentic Workflows Development Sustainable via Case-Based Reasoning
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Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization
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Technical Case Study of Privacy-Enhancing Technologies (PETs) for Public Health
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Long-form RewardBench: Evaluating Reward Models for Long-form Generation
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Diffusion-based Generative Machine Learning Model for Predicting Crack Propagation in Aluminum Nitride at the Atomic Scale
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SCOPE: Semantic Coreset with Orthogonal Projection Embeddings for Federated learning
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Exact Federated Continual Unlearning for Ridge Heads on Frozen Foundation Models
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Is Human Annotation Necessary? Iterative MBR Distillation for Error Span Detection in Machine Translation
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Retrieval-Enhanced Real Estate Appraisal
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MGMAR: Metal-Guided Metal Artifact Reduction for X-ray Computed Tomography
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Fair Lung Disease Diagnosis from Chest CT via Gender-Adversarial Attention Multiple Instance Learning
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Test-Time Attention Purification for Backdoored Large Vision Language Models
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Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs
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Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis
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A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and Tasks
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Accelerating Stroke MRI with Diffusion Probabilistic Models through Large-Scale Pre-training and Target-Specific Fine-Tuning
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FraudFox: Adaptable Fraud Detection in the Real World
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Structured Distillation for Personalized Agent Memory: 11x Token Reduction with Retrieval Preservation
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ARL-Tangram: Unleash the Resource Efficiency in Agentic Reinforcement Learning
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daVinci-Env: Open SWE Environment Synthesis at Scale
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SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation
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PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses
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SortScrews: A Dataset and Baseline for Real-time Screw Classification
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Purify Once, Edit Freely: Breaking Image Protections under Model Mismatch
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Multimodal OCR: Parse Anything from Documents
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ESPIRE: A Diagnostic Benchmark for Embodied Spatial Reasoning of Vision-Language Models
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Association-Aware GNN for Precoder Learning in Cell-Free Systems
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Interrogating Design Homogenization in Web Vibe Coding
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Federated Few-Shot Learning on Neuromorphic Hardware: An Empirical Study Across Physical Edge Nodes
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Interpretable Semantic Gradients in SSD: A PCA Sweep Approach and a Case Study on AI Discourse
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OpenACMv2: An Accuracy-Constrained Co-Optimization Framework for Approximate DCiM
