Papers
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CD-Buffer: Complementary Dual-Buffer Framework for Test-Time Adaptation in Adverse Weather Object Detection
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IndoBERT-Relevancy: A Context-Conditioned Relevancy Classifier for Indonesian Text
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AcTTA: Rethinking Test-Time Adaptation via Dynamic Activation
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Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer
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A Human-Inspired Decoupled Architecture for Efficient Audio Representation Learning
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"Oops! ChatGPT is Temporarily Unavailable!": A Diary Study on Knowledge Workers' Experiences of LLM Withdrawal
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Are LLM-Enhanced Graph Neural Networks Robust against Poisoning Attacks?
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LLM Benchmark-User Need Misalignment for Climate Change
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Accurate Precipitation Forecast by Efficiently Learning from Massive Atmospheric Variables and Unbalanced Distribution
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SDDF: Specificity-Driven Dynamic Focusing for Open-Vocabulary Camouflaged Object Detection
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DPD-Cancer: Explainable Graph-based Deep Learning for Small Molecule Anti-Cancer Activity Prediction
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FINDER: Zero-Shot Field-Integrated Network for Distortion-free EPI Reconstruction in Diffusion MRI
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SkinGPT-X: A Self-Evolving Collaborative Multi-Agent System for Transparent and Trustworthy Dermatological Diagnosis
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Beyond Where to Look: Trajectory-Guided Reinforcement Learning for Multimodal RLVR
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Finding Distributed Object-Centric Properties in Self-Supervised Transformers
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TaxaAdapter: Vision Taxonomy Models are Key to Fine-grained Image Generation over the Tree of Life
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SWE-PRBench: Benchmarking AI Code Review Quality Against Pull Request Feedback
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InstaVSR: Taming Diffusion for Efficient and Temporally Consistent Video Super-Resolution
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TinyML for Acoustic Anomaly Detection in IoT Sensor Networks
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PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing
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ATime-Consistent Benchmark for Repository-Level Software Engineering Evaluation
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PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion
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On the Complexity of Optimal Graph Rewiring for Oversmoothing and Oversquashing in Graph Neural Networks
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Reliability-Aware Weighted Multi-Scale Spatio-Temporal Maps for Heart Rate Monitoring
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SpatialAnt: Autonomous Zero-Shot Robot Navigation via Active Scene Reconstruction and Visual Anticipation
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Efficient Few-Shot Learning for Edge AI via Knowledge Distillation on MobileViT
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Concerning Uncertainty -- A Systematic Survey of Uncertainty-Aware XAI
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From Pixels to BFS: High Maze Accuracy Does Not Imply Visual Planning
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IP-Bench: Benchmark for Image Protection Methods in Image-to-Video Generation Scenarios
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Clash of the models: Comparing performance of BERT-based variants for generic news frame detection
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Dual-branch Graph Domain Adaptation for Cross-scenario Multi-modal Emotion Recognition
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DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models
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Gaussian Shannon: High-Precision Diffusion Model Watermarking Based on Communication
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Provably Contractive and High-Quality Denoisers for Convergent Restoration
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ComVi: Context-Aware Optimized Comment Display in Video Playback
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CREval: An Automated Interpretable Evaluation for Creative Image Manipulation under Complex Instructions
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Can AI Scientist Agents Learn from Lab-in-the-Loop Feedback? Evidence from Iterative Perturbation Discovery
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FatigueFormer: Static-Temporal Feature Fusion for Robust sEMG-Based Muscle Fatigue Recognition
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VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection
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Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow
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Consistency Beyond Contrast: Enhancing Open-Vocabulary Object Detection Robustness via Contextual Consistency Learning
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GLINT: Modeling Scene-Scale Transparency via Gaussian Radiance Transport
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ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory
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DUGAE: Unified Geometry and Attribute Enhancement via Spatiotemporal Correlations for G-PCC Compressed Dynamic Point Clouds
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Progressive Learning with Anatomical Priors for Reliable Left Atrial Scar Segmentation from Late Gadolinium Enhancement MRI
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OSA: Echocardiography Video Segmentation via Orthogonalized State Update and Anatomical Prior-aware Feature Enhancement
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Dual-Stage Invariant Continual Learning under Extreme Visual Sparsity
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HAD: Heterogeneity-Aware Distillation for Lifelong Heterogeneous Learning
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MemCam: Memory-Augmented Camera Control for Consistent Video Generation
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SAFT: Sensitivity-Aware Filtering and Transmission for Adaptive 3D Point Cloud Communication over Wireless Channels
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