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Skip to the Good Part: Representation Structure & Inference-Time Layer Skipping in Diffusion vs. Autoregressive LLMs
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EVLF: Early Vision-Language Fusion for Generative Dataset Distillation
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Interpretable-by-Design Transformers via Architectural Stream Independence
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Multi-Modal Decouple and Recouple Network for Robust 3D Object Detection
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A Joint Neural Baseline for Concept, Assertion, and Relation Extraction from Clinical Text
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RobustSCI: Beyond Reconstruction to Restoration for Snapshot Compressive Imaging under Real-World Degradations
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Pushing Bistatic Wireless Sensing toward High Accuracy at the Sub-Wavelength Scale
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RayD3D: Distilling Depth Knowledge Along the Ray for Robust Multi-View 3D Object Detection
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DocCogito: Aligning Layout Cognition and Step-Level Grounded Reasoning for Document Understanding
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From Thinker to Society: Security in Hierarchical Autonomy Evolution of AI Agents
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AMR-CCR: Anchored Modular Retrieval for Continual Chinese Character Recognition
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Enhanced Random Subspace Local Projections for High-Dimensional Time Series Analysis
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SeDa: A Unified System for Dataset Discovery and Multi-Entity Augmented Semantic Exploration
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High-Fidelity Medical Shape Generation via Skeletal Latent Diffusion
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A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling
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Online Continual Learning for Anomaly Detection in IoT under Data Distribution Shifts
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Bolbosh: Script-Aware Flow Matching for Kashmiri Text-to-Speech
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A Unified View of Drifting and Score-Based Models
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EvolveReason: Self-Evolving Reasoning Paradigm for Explainable Deepfake Facial Image Identification
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InterReal: A Unified Physics-Based Imitation Framework for Learning Human-Object Interaction Skills
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Reinforcement learning-based dynamic cleaning scheduling framework for solar energy system
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SketchGraphNet: A Memory-Efficient Hybrid Graph Transformer for Large-Scale Sketch Corpora Recognition
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Beyond Data Splitting: Full-Data Conformal Prediction by Differential Privacy
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One-for-All Model Initialization with Frequency-Domain Knowledge
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Neural Dynamics-Informed Pre-trained Framework for Personalized Brain Functional Network Construction
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Generative prediction of laser-induced rocket ignition with dynamic latent space representations
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TableMind++: An Uncertainty-Aware Programmatic Agent for Tool-Augmented Table Reasoning
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Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure
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ACCURATE: Arbitrary-shaped Continuum Reconstruction Under Robust Adaptive Two-view Estimation
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Accent Vector: Controllable Accent Manipulation for Multilingual TTS Without Accented Data
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Scale-Aware UAV-to-Satellite Cross-View Geo-Localization: A Semantic Geometric Approach
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MAWARITH: A Dataset and Benchmark for Legal Inheritance Reasoning with LLMs
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How Long Can Unified Multimodal Models Generate Images Reliably? Taming Long-Horizon Interleaved Image Generation via Context Curation
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CONSTANT: Towards High-Quality One-Shot Handwriting Generation with Patch Contrastive Enhancement and Style-Aware Quantization
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DreamSAC: Learning Hamiltonian World Models via Symmetry Exploration
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COOL-MC: Verifying and Explaining RL Policies for Multi-bridge Network Maintenance
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Learning-free L2-Accented Speech Generation using Phonological Rules
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Targeted Speaker Poisoning Framework in Zero-Shot Text-to-Speech
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Nwāchā Munā: A Devanagari Speech Corpus and Proximal Transfer Benchmark for Nepal Bhasha ASR
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ECG Classification on PTB-XL: A Data-Centric Approach with Simplified CNN-VAE
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Active Inference for Micro-Gesture Recognition: EFE-Guided Temporal Sampling and Adaptive Learning
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PureCC: Pure Learning for Text-to-Image Concept Customization
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Brain-WM: Brain Glioblastoma World Model
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SiamGM: Siamese Geometry-Aware and Motion-Guided Network for Real-Time Satellite Video Object Tracking
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GRD-Net: Generative-Reconstructive-Discriminative Anomaly Detection with Region of Interest Attention Module
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Revisiting the LiRA Membership Inference Attack Under Realistic Assumptions
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Constraints Matrix Diffusion based Generative Neural Solver for Vehicle Routing Problems
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Efficient RGB-D Scene Understanding via Multi-task Adaptive Learning and Cross-dimensional Feature Guidance
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A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification
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TS-MLLM: A Multi-Modal Large Language Model-based Framework for Industrial Time-Series Big Data Analysis
