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Residual SODAP: Residual Self-Organizing Domain-Adaptive Prompting with Structural Knowledge Preservation for Continual Learning
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Adaptive Vision-Language Model Routing for Computer Use Agents
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NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval
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Rethinking Multiple-Choice Questions for RLVR: Unlocking Potential via Distractor Design
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From AI Weather Prediction to Infrastructure Resilience: A Correction-Downscaling Framework for Tropical Cyclone Impacts
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coDrawAgents: A Multi-Agent Dialogue Framework for Compositional Image Generation
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Hierarchical Dual-Change Collaborative Learning for UAV Scene Change Captioning
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Mask2Flow-TSE: Two-Stage Target Speaker Extraction with Masking and Flow Matching
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DAST: A Dual-Stream Voice Anonymization Attacker with Staged Training
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Multimodal Protein Language Models for Enzyme Kinetic Parameters: From Substrate Recognition to Conformational Adaptation
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Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers
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Vision-Language Based Expert Reporting for Painting Authentication and Defect Detection
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Team LEYA in 10th ABAW Competition: Multimodal Ambivalence/Hesitancy Recognition Approach
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On Linear Separability of the MNIST Handwritten Digits Dataset
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Draft-and-Target Sampling for Video Generation Policy
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Wear Classification of Abrasive Flap Wheels using a Hierarchical Deep Learning Approach
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I Know What I Don't Know: Latent Posterior Factor Models for Multi-Evidence Probabilistic Reasoning
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Composing Driving Worlds through Disentangled Control for Adversarial Scenario Generation
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Surrogates for Physics-based and Data-driven Modelling of Parametric Systems: Review and New Perspectives
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CLARIN-PT-LDB: An Open LLM Leaderboard for Portuguese to assess Language, Culture and Civility
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TRACE: Structure-Aware Character Encoding for Robust and Generalizable Document Watermarking
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Test-time RL alignment exposes task familiarity artifacts in LLM benchmarks
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Explainable AI Using Inherently Interpretable Components for Wearable-based Health Monitoring
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Enhanced Drug-drug Interaction Prediction Using Adaptive Knowledge Integration
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A protocol for evaluating robustness to H&E staining variation in computational pathology models
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Forecasting Epileptic Seizures from Contactless Camera via Cross-Species Transfer Learning
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Finite Difference Flow Optimization for RL Post-Training of Text-to-Image Models
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Human-Centered Evaluation of an LLM-Based Process Modeling Copilot: A Mixed-Methods Study with Domain Experts
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A theory of learning data statistics in diffusion models, from easy to hard
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Spectral-Geometric Neural Fields for Pose-Free LiDAR View Synthesis
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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
