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Gauge-Equivariant Intrinsic Neural Operators for Geometry-Consistent Learning of Elliptic PDE Maps
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Efficient Event Camera Volume System
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TrajMamba: An Ego-Motion-Guided Mamba Model for Pedestrian Trajectory Prediction from an Egocentric Perspective
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PHAC: Promptable Human Amodal Completion
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CAMD: Coverage-Aware Multimodal Decoding for Efficient Reasoning of Multimodal Large Language Models
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Face-Guided Sentiment Boundary Enhancement for Weakly-Supervised Temporal Sentiment Localization
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Learning Constituent Headedness
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Towards Privacy-Preserving Machine Translation at the Inference Stage: A New Task and Benchmark
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BrainBench: Exposing the Commonsense Reasoning Gap in Large Language Models
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Online Learning for Supervisory Switching Control
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LiDAR-EVS: Enhance Extrapolated View Synthesis for 3D Gaussian Splatting with Pseudo-LiDAR Supervision
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Topology-Preserving Data Augmentation for Ring-Type Polygon Annotations
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SSR: A Training-Free Approach for Streaming 3D Reconstruction
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Investigating the Impact of Speech Enhancement on Audio Deepfake Detection in Noisy Environments
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Understanding the geometry of deep learning with decision boundary volume
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POLCA: Stochastic Generative Optimization with LLM
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AnyPhoto: Multi-Person Identity Preserving Image Generation with ID Adaptive Modulation on Location Canvas
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OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence
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Zero-Shot Reconstruction of Animatable 3D Avatars with Cloth Dynamics from a Single Image
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HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation
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$p^2$RAG: Privacy-Preserving RAG Service Supporting Arbitrary Top-$k$ Retrieval
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Vietnamese Automatic Speech Recognition: A Revisit
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High-Fidelity 3D Facial Avatar Synthesis with Controllable Fine-Grained Expressions
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Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QA
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Orthogonal Subspace Clustering: Enhancing High-Dimensional Data Analysis through Adaptive Dimensionality Reduction and Efficient Clustering
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BadLLM-TG: A Backdoor Defender powered by LLM Trigger Generator
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Mind-of-Director: Multi-modal Agent-Driven Film Previsualization via Collaborative Decision-Making
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LaPro-DTA: Latent Dual-View Drug Representations and Salient Protein Feature Extraction for Generalizable Drug--Target Affinity Prediction
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GARCH-FIS: A Hybrid Forecasting Model with Dynamic Volatility-Driven Parameter Adaptation
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Face-to-Face: A Video Dataset for Multi-Person Interaction Modeling
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Global Truncated Loss Minimization for Robust and Threshold-Resilient Geometric Estimation
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Multi-Task Genetic Algorithm with Multi-Granularity Encoding for Protein-Nucleotide Binding Site Prediction
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Preconditioned One-Step Generative Modeling for Bayesian Inverse Problems in Function Spaces
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Universe Routing: Why Self-Evolving Agents Need Epistemic Control
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OpenReservoirComputing: GPU-Accelerated Reservoir Computing in JAX
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VorTEX: Various overlap ratio for Target speech EXtraction
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Knowledge Activation: AI Skills as the Institutional Knowledge Primitive for Agentic Software Development
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Fold-CP: A Context Parallelism Framework for Biomolecular Modeling
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HiMemVLN: Enhancing Reliability of Open-Source Zero-Shot Vision-and-Language Navigation with Hierarchical Memory System
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Ego to World: Collaborative Spatial Reasoning in Embodied Systems via Reinforcement Learning
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M2IR: Proactive All-in-One Image Restoration via Mamba-style Modulation and Mixture-of-Experts
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SimCert: Probabilistic Certification for Behavioral Similarity in Deep Neural Network Compression
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RAZOR: Ratio-Aware Layer Editing for Targeted Unlearning in Vision Transformers and Diffusion Models
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RadarXFormer: Robust Object Detection via Cross-Dimension Fusion of 4D Radar Spectra and Images for Autonomous Driving
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Planning as Goal Recognition: Deriving Heuristics from Intention Models - Extended Version
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Two Birds, One Projection: Harmonizing Safety and Utility in LVLMs via Inference-time Feature Projection
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SemanticFace: Semantic Facial Action Estimation via Semantic Distillation in Interpretable Space
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Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks
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Neural Networks as Local-to-Global Computations
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Halfway to 3D: Ensembling 2.5D and 3D Models for Robust COVID-19 CT Diagnosis
