Health
988 storiesPublic health and medicine worldwide — sourced from WHO News.
A quasi-Grassmannian gradient flow model for eigenvalue problems
arXiv:2506.20195v3 Announce Type: replace Abstract: We propose a quasi-Grassmannian gradient flow model for eigenvalue problems of linear operators, aiming to efficiently address many eigenpairs. Our model inherently ens…
Olaf: Programmable Data Plane Acceleration for Asynchronous Distributed Reinforcement Learning
arXiv:2507.05876v2 Announce Type: replace Abstract: Asynchronous Distributed Reinforcement Learning (DRL) can suffer from degraded convergence when model updates become stale, often the result of network congestion and p…
Can AR Embedded Visualizations Foster Appropriate Reliance on AI in Spatial Decision-Making? A Comparative Study of AR X-Ray vs. 2D Minimap
arXiv:2507.14316v5 Announce Type: replace Abstract: Artificial Intelligence (AI) and indoor sensing increasingly support decision-making in spatial environments. However, traditional visualization methods impose a substa…
RAD: Retrieval High-quality Demonstrations to Enhance Decision-making
arXiv:2507.15356v2 Announce Type: replace Abstract: Offline reinforcement learning (RL) learns policies from fixed datasets, thereby avoiding costly or unsafe environment interactions. However, its reliance on finite sta…
Assessing the ROI of Cyber Threat Intelligence: An Operational and Financial Evaluation Framework
arXiv:2507.17628v2 Announce Type: replace Abstract: Quantifying the Return on Investment (ROI) of Cyber Threat Intelligence (CTI) poses a measurement problem: successful prevention produces non-events that leave no obser…
DINO-SLAM: DINO-informed RGB-D SLAM for Neural Implicit and Explicit Representations
arXiv:2507.19474v2 Announce Type: replace Abstract: This paper presents DINO-SLAM, a DINO-informed design strategy to enhance implicit (Neural Radiance Field -- NeRF) and explicit representations (Gaussian Splatting -- G…
Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming
arXiv:2508.00923v3 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used to answer health-related questions and support healthcare workflows, yet evidence for their safety still relies heavi…
AgenticData: An Agentic Data Analytics System for Heterogeneous Data
arXiv:2508.05002v2 Announce Type: replace Abstract: Existing unstructured data analytics systems rely on experts to write code and manage complex analysis workflows, making them both expensive and time-consuming. To addr…
An (m,k)-firm Elevation Policy for Weakly Hard Real-Time in Converged 5G-TSN Networks
arXiv:2508.09769v2 Announce Type: replace Abstract: Ongoing standardization efforts in 5G and Time-Sensitive Networking (TSN) aim to provide safety-critical applications with real-time communication. However, 5G-TSN netw…
Harmonious Color Pairings: Insights from Human Preference and Natural Hue Statistics
arXiv:2508.15777v3 Announce Type: replace Abstract: While color harmony has long been studied in art and design, a clear consensus remains elusive, as most models are grounded in qualitative insights or limited datasets.…
Metamorphic Coverage
arXiv:2508.16307v2 Announce Type: replace Abstract: Metamorphic testing is a widely used methodology that examines an expected relation between pairs of executions to automatically find bugs, such as correctness bugs. We…
GSVisLoc: Generalizable Visual Localization for Gaussian Splatting Scene Representations
arXiv:2508.18242v2 Announce Type: replace Abstract: We introduce GSVisLoc, a visual localization method designed for 3D Gaussian Splatting (3DGS) scene representations. Given a 3DGS model of a scene and a query image, ou…
L-MARS: Legal Multi-Agent System with Agentic Search and Citation-Faithfulness Audit
arXiv:2509.00761v4 Announce Type: replace Abstract: Large language models are increasingly deployed for legal question answering, where evaluations typically focus on multiple-choice accuracy. This measure overlooks a co…
Unpacking "Personal" Health Informatics for Proactive Collective Care
arXiv:2509.01231v4 Announce Type: replace Abstract: Care is primarily a collective phenomenon, with a practice that involves sharing health and wellbeing information within a trusted "care circle" of family members and c…
Second-order optimally stable IMEX (pseudo-)staggered Galerkin discretization with application to depth-integrated lava flow simulations
arXiv:2509.09460v2 Announce Type: replace Abstract: We present second-order optimally stable Implicit-Explicit (IMEX) Runge-Kutta (RK) schemes with application to a modified set of shallow water equations that can be use…
MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization
arXiv:2509.14839v3 Announce Type: replace Abstract: City administrations increasingly rely on comprehensive databases and digital twins of city assets, such as traffic signs and trees, as well as incidents such as graffi…
Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation
arXiv:2509.19244v3 Announce Type: replace Abstract: We propose Lavida-O, a unified Masked Diffusion Model (MDM) for multimodal understanding and generation. Unlike existing multimodal MDMs such as MMaDa and Muddit which …
Modeling and Control of Deep Sign-Definite Dynamics with Application to Hybrid Powertrain Control
arXiv:2509.19869v2 Announce Type: replace Abstract: Data-driven control increasingly relies on deep models for complex systems whose first-principles models are difficult to obtain. For reliable deployment, however, lear…
Micro-macro kinetic flux-vector splitting schemes for the multidimensional Boltzmann-ES-BGK equation
arXiv:2509.21832v2 Announce Type: replace Abstract: The kinetic Boltzmann equation models gas dynamics over a wide range of spatial and temporal scales. Simplified versions of the full Boltzmann collision operator, such …
TokenSwap: Backdoor Attack on the Compositional Understanding of Large Vision-Language Models
arXiv:2509.24566v2 Announce Type: replace Abstract: Large vision-language models (LVLMs) have achieved impressive performance across a wide range of vision-language tasks, while they remain vulnerable to backdoor attacks…