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Explainable Condition Monitoring via Probabilistic Anomaly Detection Applied to Helicopter Transmissions
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UniGround: Universal 3D Visual Grounding via Training-Free Scene Parsing
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Fast Low-light Enhancement and Deblurring for 3D Dark Scenes
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VesselFusion: Diffusion Models for Vessel Centerline Extraction from 3D CT Images
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Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach
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DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
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Training event-based neural networks with exact gradients via Differentiable ODE Solving in JAX
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MV-Fashion: Towards Enabling Virtual Try-On and Size Estimation with Multi-View Paired Data
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Gradually Excavating External Knowledge for Implicit Complex Question Answering
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Edged USLAM: Edge-Aware Event-Based SLAM with Learning-Based Depth Priors
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Gender Bias in MT for a Genderless Language: New Benchmarks for Basque
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C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis
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Are We Winning the Wrong Game? Revisiting Evaluation Practices for Long-Term Time Series Forecasting
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Outlier-robust Autocovariance Least Square Estimation via Iteratively Reweighted Least Square
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Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning
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Covenant-72B: Pre-Training a 72B LLM with Trustless Peers Over-the-Internet
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An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation
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RexDrug: Reliable Multi-Drug Combination Extraction through Reasoning-Enhanced LLMs
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Evidence-Driven Reasoning for Industrial Maintenance Using Heterogeneous Data
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Evolution Strategy-Based Calibration for Low-Bit Quantization of Speech Models
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MERLIN: Building Low-SNR Robust Multimodal LLMs for Electromagnetic Signals
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Is continuous CoT better suited for multi-lingual reasoning?
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Privacy-Preserving End-to-End Full-Duplex Speech Dialogue Models
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ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection
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AutoAdapt: An Automated Domain Adaptation Framework for LLMs
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TildeOpen LLM: Leveraging Curriculum Learning to Achieve Equitable Language Representation
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SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM Quantization
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Sequential Service Region Design with Capacity-Constrained Investment and Spillover Effect
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Supporting Workflow Reproducibility by Linking Bioinformatics Tools across Papers and Executable Code
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Fusion-Poly: A Polyhedral Framework Based on Spatial-Temporal Fusion for 3D Multi-Object Tracking
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MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data
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Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules
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The Conundrum of Trustworthy Research on Attacking Personally Identifiable Information Removal Techniques
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Alignment-Aware and Reliability-Gated Multimodal Fusion for Unmanned Aerial Vehicle Detection Across Heterogeneous Thermal-Visual Sensors
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Multi-Objective Evolutionary Optimization of Chance-Constrained Multiple-Choice Knapsack Problems with Implicit Probability Distributions
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Video2LoRA: Unified Semantic-Controlled Video Generation via Per-Reference-Video LoRA
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Revisiting Gradient Staleness: Evaluating Distance Metrics for Asynchronous Federated Learning Aggregation
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DualTurn: Learning Turn-Taking from Dual-Channel Generative Speech Pretraining
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Wiener Chaos Expansion based Neural Operator for Singular Stochastic Partial Differential Equations
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SplitAgent: A Privacy-Preserving Distributed Architecture for Enterprise-Cloud Agent Collaboration
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SAVE: Speech-Aware Video Representation Learning for Video-Text Retrieval
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SRNeRV: A Scale-wise Recursive Framework for Neural Video Representation
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GarmentPainter: Efficient 3D Garment Texture Synthesis with Character-Guided Diffusion Model
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Disentangling Reasoning in Large Audio-Language Models for Ambiguous Emotion Prediction
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Quantifying Cross-Lingual Transfer in Paralinguistic Speech Tasks
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The Struggle Between Continuation and Refusal: A Mechanistic Analysis of the Continuation-Triggered Jailbreak in LLMs
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Exploring Deep Learning and Ultra-Widefield Imaging for Diabetic Retinopathy and Macular Edema
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Fibration Policy Optimization
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SiMO: Single-Modality-Operable Multimodal Collaborative Perception
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Sensivity of LLMs' Explanations to the Training Randomness:Context, Class & Task Dependencies
