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arXiv:2603.03710v1 Announce Type: new Abstract: Zero-shot MRI reconstruction relies on generative priors, but single-modality unconditional priors produce hallucinations under severe ill-posedness. In many clinical workflows,...
arXiv:2603.03711v1 Announce Type: new Abstract: Local Differential Privacy (LDP) is the gold standard trust model for privacy-preserving machine learning by guaranteeing privacy at the data...
arXiv:2603.03712v1 Announce Type: new Abstract: Malware attacks in today's vast digital ecosystem pose a serious threat. Understanding malware propagation dynamics and designing effective control strategies...
arXiv:2603.03714v1 Announce Type: new Abstract: We study a systematic bias in modern image generation models: the mention order of entities in text spuriously determines spatial...
arXiv:2603.03717v1 Announce Type: new Abstract: Locally decodable codes (LDCs) are error correction codes that allow recovery of any single message symbol by probing only a...
arXiv:2603.03718v1 Announce Type: new Abstract: Glass surface segmentation from RGB images is a challenging task, since glass as a transparent material distinctly lacks visual characteristics....
arXiv:2603.03723v1 Announce Type: new Abstract: Analog error correction codes have been proposed for analog in-memory computing on resistive crossbars, which can accelerate vector-matrix multiplication for...
arXiv:2603.03724v1 Announce Type: new Abstract: Portable active back support devices (BSDs) offer tunable assistance but are often bulky and heavy, limiting their usability. In contrast,...
arXiv:2603.03725v1 Announce Type: new Abstract: The volume of freely scraped data on the Internet has driven the tremendous success of deep learning. Along with this...
arXiv:2603.03726v1 Announce Type: new Abstract: No-Reference Point Cloud Quality Assessment (NR-PCQA) still struggles with generalization, primarily due to the scarcity of annotated point cloud datasets....
arXiv:2603.03727v1 Announce Type: new Abstract: This paper studies how parents want to moderate children's interactions with Generative AI chatbots, with the goal of informing the...
arXiv:2603.03731v1 Announce Type: new Abstract: The emergence of large-scale, sparse, multimodal, and agentic AI models has coincided with a shift in hardware toward supernode architectures...
arXiv:2603.03733v1 Announce Type: new Abstract: While recent advances have demonstrated strong performance in individual humanoid skills such as upright locomotion, fall recovery and whole-body coordination,...
arXiv:2603.03735v1 Announce Type: new Abstract: Snake robots are inspired by the ability of biological snakes to move over rock, grass, leaves, soil, up trees, along...
arXiv:2603.03736v1 Announce Type: new Abstract: Every link disconnection or flap in a datacenter corrupts the network's self-knowledge -- its graph. We call this corruption a...
arXiv:2603.03738v1 Announce Type: new Abstract: As the convergence of cloud computing and advanced networking continues to reshape modern software development, edge-cloud-native paradigms have become essential...
arXiv:2603.03739v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have advanced zero-shot end-to-end Vision-Language Navigation (VLN), yet robust navigation requires not only semantic understanding...
arXiv:2603.03740v1 Announce Type: new Abstract: Controlling robots with strongly nonlinear, high-dimensional dynamics remains challenging, as direct nonlinear optimization with safety constraints is often intractable in...
arXiv:2603.03741v1 Announce Type: new Abstract: To improve generalization and resilience in human-robot collaboration (HRC), robots must handle the combinatorial diversity of human behaviors and contexts,...
arXiv:2603.03742v1 Announce Type: new Abstract: Despite the remarkable performance of large language models (LLMs) in text-to-SQL (SQL generation), correctly producing SQL queries remains challenging during...
arXiv:2603.03743v1 Announce Type: new Abstract: This is the second of five papers comprising The Semantic Arrow of Time. Part I established that computing's arrow of...
arXiv:2603.03744v1 Announce Type: new Abstract: Estimating accurate, view-consistent geometry and camera poses from uncalibrated multi-view/video inputs remains challenging - especially at high spatial resolutions and...
arXiv:2603.03745v1 Announce Type: new Abstract: Vision-Language Navigation (VLN) is evolving from single-point pathfinding toward the more challenging Multi-Goal VLN. This task requires agents to accurately...
arXiv:2603.03748v1 Announce Type: new Abstract: High-stakes synthetic data generation faces a fundamental Quadrilemma: achieving Fidelity to the original distribution, Control over complex logical constraints, Reliability...