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When AVSR Meets Video Conferencing: Dataset, Degradation, and the Hidden Mechanism Behind Performance Collapse
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EVA: Efficient Reinforcement Learning for End-to-End Video Agent
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The EU AI Act and the Rights-based Approach to Technological Governance
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Quality Over Clicks: Intrinsic Quality-Driven Iterative Reinforcement Learning for Cold-Start E-Commerce Query Suggestion
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ProGRank: Probe-Gradient Reranking to Defend Dense-Retriever RAG from Corpus Poisoning
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Ran Score: a LLM-based Evaluation Score for Radiology Report Generation
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FixationFormer: Direct Utilization of Expert Gaze Trajectories for Chest X-Ray Classification
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Optimizing Small Language Models for NL2SQL via Chain-of-Thought Fine-Tuning
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PersonalQ: Select, Quantize, and Serve Personalized Diffusion Models for Efficient Inference
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Caption Generation for Dongba Paintings via Prompt Learning and Semantic Fusion
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Weak-PDE-Net: Discovering Open-Form PDEs via Differentiable Symbolic Networks and Weak Formulation
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Cluster-Wise Spatio-Temporal Masking for Efficient Video-Language Pretraining
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Privacy-Preserving EHR Data Transformation via Geometric Operators: A Human-AI Co-Design Technical Report
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Safe Reinforcement Learning with Preference-based Constraint Inference
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AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization
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Stepwise Variational Inference with Vine Copulas
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Asymptotic Learning Curves for Diffusion Models with Random Features Score and Manifold Data
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A PAC-Bayesian approach to generalization for quantum models
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Few-Shot Generative Model Adaption via Identity Injection and Preservation
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Set-Valued Prediction for Large Language Models with Feasibility-Aware Coverage Guarantees
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Beyond Theoretical Bounds: Empirical Privacy Loss Calibration for Text Rewriting Under Local Differential Privacy
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FCL-COD: Weakly Supervised Camouflaged Object Detection with Frequency-aware and Contrastive Learning
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WorldMesh: Generating Navigable Multi-Room 3D Scenes via Mesh-Conditioned Image Diffusion
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Where Experts Disagree, Models Fail: Detecting Implicit Legal Citations in French Court Decisions
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Causal Reconstruction of Sentiment Signals from Sparse News Data
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DariMis: Harm-Aware Modeling for Dari Misinformation Detection on YouTube
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JFTA-Bench: Evaluate LLM's Ability of Tracking and Analyzing Malfunctions Using Fault Trees
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Can Graph Foundation Models Generalize Over Architecture?
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Beyond Hate: Differentiating Uncivil and Intolerant Speech in Multimodal Content Moderation
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A Critical Review on the Effectiveness and Privacy Threats of Membership Inference Attacks
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Robustness Quantification and Uncertainty Quantification: Comparing Two Methods for Assessing the Reliability of Classifier Predictions
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VLA-IAP: Training-Free Visual Token Pruning via Interaction Alignment for Vision-Language-Action Models
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VQ-Jarvis: Retrieval-Augmented Video Restoration Agent with Sharp Vision and Fast Thought
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PaperVoyager : Building Interactive Web with Visual Language Models
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On the use of Aggregation Operators to improve Human Identification using Dental Records
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Can Large Language Models Reason and Optimize Under Constraints?
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AgentRAE: Remote Action Execution through Notification-based Visual Backdoors against Screenshots-based Mobile GUI Agents
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Zero-Shot Personalization of Objects via Textual Inversion
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Knowledge Access Beats Model Size: Memory Augmented Routing for Persistent AI Agents
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A Sobering Look at Tabular Data Generation via Probabilistic Circuits
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Concept-based explanations of Segmentation and Detection models in Natural Disaster Management
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Cog3DMap: Multi-View Vision-Language Reasoning with 3D Cognitive Maps
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Looking Beyond the Window: Global-Local Aligned CLIP for Training-free Open-Vocabulary Semantic Segmentation
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Generative Event Pretraining with Foundation Model Alignment
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Traffic Sign Recognition in Autonomous Driving: Dataset, Benchmark, and Field Experiment
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YOLOv10 with Kolmogorov-Arnold networks and vision-language foundation models for interpretable object detection and trustworthy multimodal AI in computer vision perception
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HUydra: Full-Range Lung CT Synthesis via Multiple HU Interval Generative Modelling
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Assessing the Robustness of Climate Foundation Models under No-Analog Distribution Shifts
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Parametric Knowledge and Retrieval Behavior in RAG Fine-Tuning for Electronic Design Automation
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MSR-HuBERT: Self-supervised Pre-training for Adaptation to Multiple Sampling Rates
