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When Detectors Forget Forensics: Blocking Semantic Shortcuts for Generalizable AI-Generated Image Detection
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Towards Instance Segmentation with Polygon Detection Transformers
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Social-R1: Towards Human-like Social Reasoning in LLMs
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A Generative Sampler for distributions with possible discrete parameter based on Reversibility
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Efficient Reasoning at Fixed Test-Time Cost via Length-Aware Attention Priors and Gain-Aware Training
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Multi-model approach for autonomous driving: A comprehensive study on traffic sign-, vehicle- and lane detection and behavioral cloning
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Transductive Generalization via Optimal Transport and Its Application to Graph Node Classification
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Multimodal Graph Representation Learning with Dynamic Information Pathways
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Implicit Geometry Representations for Vision-and-Language Navigation from Web Videos
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ForgeDreamer: Industrial Text-to-3D Generation with Multi-Expert LoRA and Cross-View Hypergraph
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Logos: An evolvable reasoning engine for rational molecular design
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DendroNN: Dendrocentric Neural Networks for Energy-Efficient Classification of Event-Based Data
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On Regret Bounds of Thompson Sampling for Bayesian Optimization
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Speeding Up the Learning of 3D Gaussians with Much Shorter Gaussian Lists
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From Ideal to Real: Stable Video Object Removal under Imperfect Conditions
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Learning Convex Decomposition via Feature Fields
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CogBlender: Towards Continuous Cognitive Intervention in Text-to-Image Generation
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Exploring Modality-Aware Fusion and Decoupled Temporal Propagation for Multi-Modal Object Tracking
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Proxy-Guided Measurement Calibration
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TASER: Task-Aware Spectral Energy Refine for Backdoor Suppression in UAV Swarms Decentralized Federated Learning
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DenoiseSplat: Feed-Forward Gaussian Splatting for Noisy 3D Scene Reconstruction
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See, Plan, Rewind: Progress-Aware Vision-Language-Action Models for Robust Robotic Manipulation
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Diagnosing and Repairing Citation Failures in Generative Engine Optimization
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TA-Mem: Tool-Augmented Autonomous Memory Retrieval for LLM in Long-Term Conversational QA
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Rescaling Confidence: What Scale Design Reveals About LLM Metacognition
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A Gaussian Comparison Theorem for Training Dynamics in Machine Learning
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IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework
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Curveball Steering: The Right Direction To Steer Isn't Always Linear
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CLoE: Expert Consistency Learning for Missing Modality Segmentation
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NLiPsCalib: An Efficient Calibration Framework for High-Fidelity 3D Reconstruction of Curved Visuotactile Sensors
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SpaceSense-Bench: A Large-Scale Multi-Modal Benchmark for Spacecraft Perception and Pose Estimation
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Reading the Mood Behind Words: Integrating Prosody-Derived Emotional Context into Socially Responsive VR Agents
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OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in Multimodal Large Language Models
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Reward-Zero: Language Embedding Driven Implicit Reward Mechanisms for Reinforcement Learning
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TimberAgent: Gram-Guided Retrieval for Executable Music Effect Control
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Beyond Scaling: Assessing Strategic Reasoning and Rapid Decision-Making Capability of LLMs in Zero-sum Environments
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Predictive Spectral Calibration for Source-Free Test-Time Regression
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TaSR-RAG: Taxonomy-guided Structured Reasoning for Retrieval-Augmented Generation
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Robust Regularized Policy Iteration under Transition Uncertainty
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Robust Provably Secure Image Steganography via Latent Iterative Optimization
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TA-GGAD: Testing-time Adaptive Graph Model for Generalist Graph Anomaly Detection
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Interactive 3D visualization of surface roughness predictions in additive manufacturing: A data-driven framework
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Democratising Clinical AI through Dataset Condensation for Classical Clinical Models
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Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification
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M3GCLR: Multi-View Mini-Max Infinite Skeleton-Data Game Contrastive Learning For Skeleton-Based Action Recognition
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From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering
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Flow Field Reconstruction via Voronoi-Enhanced Physics-Informed Neural Networks with End-to-End Sensor Placement Optimization
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Quantifying and extending the coverage of spatial categorization data sets
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MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification
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SinGeo: Unlock Single Model's Potential for Robust Cross-View Geo-Localization
