Health
988 storiesPublic health and medicine worldwide — sourced from WHO News.
DualHNIE: Dual-Channel Hypergraph Learning for Node Importance Estimation in Heterogeneous Knowledge Graphs
arXiv:2512.12477v3 Announce Type: replace Abstract: Estimating node importance in heterogeneous knowledge graphs is a fundamental problem underlying recommendation, search, and knowledge decision systems. However, most e…
Multiscale Methods for Discretized Continuous Optimization: Convergence and Cost Analysis
arXiv:2512.13993v3 Announce Type: replace Abstract: Discretized versions of optimization problems over continuous arguments are routinely solved at a single fine resolution, incurring a per-iteration cost that grows, oft…
Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models
arXiv:2512.14008v2 Announce Type: replace Abstract: Masked Discrete Diffusion Models (MDMs) have achieved strong performance across a wide range of multimodal tasks, including image understanding, generation, and editing…
Step-Tagging: Toward controlling the generation of Language Reasoning Models through step monitoring
arXiv:2512.14332v2 Announce Type: replace Abstract: The field of Language Reasoning Models (LRMs) has been very active over the past few years with advances in training and inference techniques enabling LRMs to reason lo…
Subjective functions
arXiv:2512.15948v3 Announce Type: replace Abstract: Where do objective functions come from? How do we select what goals to pursue? Human intelligence is adept at synthesizing new objective functions on the fly. How does …
RePlan: Reasoning-guided Region Planning for Complex Instruction-based Image Editing
arXiv:2512.16864v2 Announce Type: replace Abstract: Instruction-based image editing enables natural-language control over visual modifications, yet existing models falter under Instruction-Visual Complexity (IV-Complexit…
The Challenger: When Do New Data Sources Justify Switching Machine Learning Models?
arXiv:2512.18390v2 Announce Type: replace Abstract: Organizations often have an incumbent predictive model in production when new data sources become available. Because historical training data lack the new features, a c…
CoDi -- an exemplar-conditioned diffusion model for low-shot counting
arXiv:2512.20153v2 Announce Type: replace Abstract: Low-shot object counting addresses estimating the number of previously unobserved objects in an image using only few or no annotated test-time exemplars. A considerable…
FORCE-$\alpha$ Numerical Fluxes within the Arbitrary High Order Semidiscrete WENO-DeC Framework: A Competitive Alternative to Upwind Fluxes
arXiv:2512.21306v2 Announce Type: replace Abstract: This work systematically investigates the performance of FORCE--$\alpha$ numerical fluxes within an arbitrary high order semidiscrete finite volume (FV) framework for h…
Craig-Lyndon Interpolation for the Logic of Here and There with a Variation of Mints' Sequent System
arXiv:2601.04080v4 Announce Type: replace Abstract: We present a variation of Maehara's method to construct Craig-Lyndon interpolants for the three-valued propositional logic of here and there (HT), also known as G\"odel…
Large language models can effectively convince people to believe conspiracies
arXiv:2601.05050v3 Announce Type: replace Abstract: Large language models (LLMs) have been shown to be persuasive across a variety of contexts. But it remains unclear whether this persuasive power advantages accuracy, or…
Fundamental Recovery Bounds for SPAD Signals under Stationary Flux
arXiv:2601.07599v3 Announce Type: replace Abstract: Single-photon avalanche diodes (SPADs) record light as a discrete stream of individual detections. The signal is stochastic. Its statistical structure depends on the se…
LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data
arXiv:2601.09118v2 Announce Type: replace Abstract: This paper addresses the limitations of current vision-based rail defect detection methods, including high computational complexity, excessive parameter counts, and sub…
Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Method
arXiv:2601.09238v2 Announce Type: replace Abstract: Substation meters play a critical role in monitoring and ensuring the stable operation of power grids, yet their detection of cracks and other physical defects is often…
A$^2$TG: Adaptive Anisotropic Textured Gaussians for Efficient 3D Scene Representation
arXiv:2601.09243v2 Announce Type: replace Abstract: Gaussian Splatting has emerged as a powerful representation for high-quality, real-time 3D scene rendering. While recent works extend Gaussians with learnable textures …
Walk based Laplacians for Modeling Diffusion on Complex Networks
arXiv:2601.11338v2 Announce Type: replace Abstract: We develop a novel framework for modeling diffusion on complex networks by constructing Laplacian-like operators based on walks around a graph. Our approach introduces …
Thermodynamic Limits of Proof
arXiv:2601.15571v5 Announce Type: replace Abstract: Every irreversible recorded distinction has a positive thermodynamic work floor. Landauer's principle supplies the ideal bound $\varepsilon\ge k_B T\ln 2$ per irreversi…
PatchIsland: Orchestration of LLM Agents for Continuous Vulnerability Repair
arXiv:2601.17471v2 Announce Type: replace Abstract: Continuous fuzzing platforms such as OSS-Fuzz uncover large numbers of vulnerabilities, yet the subsequent repair process remains largely manual. Unfortunately, existin…
Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
arXiv:2601.18146v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly applied to ranking tasks in retrieval and recommendation. Although reasoning prompting can enhance ranking utility, our pr…
Knowledge-Aware Evolution for Task-Free Streaming Federated Continual Learning with Arbitrary Class Overlap
arXiv:2601.19788v2 Announce Type: replace Abstract: Federated Continual Learning (FCL) leverages inter-client collaboration to better balance new knowledge acquisition and old knowledge retention on non-stationary data. …