Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
EEG-AS: Instance-Level Foundation Model Selection for EEG Foundation Models via Behavior Reconstruction
arXiv:2609.00653v1 Announce Type: new Abstract: Electroencephalography (EEG) is a non-invasive technique for measuring neural activity and has been widely used in neuroscience applications. Recent advances in EEG foundat…
SciTrue: Reliable Scientific Claim Validation with Frontier and Open Language Models at the NTCIR SciClaimEval Task
arXiv:2609.00654v1 Announce Type: new Abstract: We describe the SciTrue team's participation in both subtasks of the NTCIR-19 SciClaimEval task~\cite{sciclaimeval}, which asks systems to verify scientific claims against …
Physically Plausible Video Generation via Visual-Semantic Chain-of-Events Conditioning
arXiv:2609.00656v1 Announce Type: new Abstract: Physically Plausible Video Generation (PPVG) seeks to synthesize videos consistent with physical principles, yet remains challenging due to underspecified natural language …
Teaching Vision-Language Models to Use the Scale They Are Given: Label-Free Equivariance Training for Metric Physical Reasoning
arXiv:2609.00658v1 Announce Type: new Abstract: Metric questions about video require vision-language models to use supplied real-world references to convert visual measurements into physical units. Yet we find that curre…
Fleets Need a Context Plane: Rethinking Cooperative Perception for Autonomous Drones
arXiv:2609.00659v1 Announce Type: new Abstract: Cooperative perception allows a drone fleet to combine observations from multiple viewpoints. However, existing systems typically fix their feature-sharing policies at desi…
Do Satellites See Commuters? A Critical Benchmark of Vision Foundation Models
arXiv:2609.00661v1 Announce Type: new Abstract: Satellite foundation models offer a globally available alternative to census data for commuting origin-destination (OD) generation, yet no study has systematically compared…
Drift-Aware LLM Routing with Sparse Contexts and Shared Budgets
arXiv:2609.00662v1 Announce Type: new Abstract: A multi-model language service must route each request while preserving workload-level budgets for compute, latency, memory, or monetary cost. Two features make this proble…
Separating perception from reasoning in vision-language models: a model-free render ceiling for crystal structures
arXiv:2609.00663v1 Announce Type: new Abstract: Multimodal evaluations cannot say whether a vision-language model misread an image or misreasoned about it, because every existing method for separating the two places a se…
Triple-Bottom-Line Sustainability of Language Models for Edge AI: A Comparison Between SLMs and Quantized LLMs
arXiv:2609.00665v1 Announce Type: new Abstract: Edge-AI model selection is commonly driven by one isolated metric - accuracy, latency, memory, energy, or safety, even though a deployable language model must balance all f…
DGNet: Dual-knowledge Guided Network for Infrared Small Target Detection
arXiv:2609.00666v1 Announce Type: new Abstract: InfRared Small Target Detection (IRSTD) is a prominent and challenging task in computer vision. In recent years, text-guided methods have significantly improved detection p…
From Saliency to Discriminability: Rank-Preserving Visual Token Pruning for VLM Rerankers
arXiv:2609.00667v1 Announce Type: new Abstract: Large vision-language models used as listwise rerankers must jointly process visual tokens from tens of candidates per query, making token pruning essential for practical d…
Behavior--Realization Separation for Constrained Physical Human--Robot Interaction
arXiv:2609.00669v1 Announce Type: new Abstract: Physical human--robot interaction software often couples desired-behavior specification with constrained realization; we treat these as separate layers. A \emph{behavior la…
Automating Static Code Analysis Through CI/CD Pipeline Integration
arXiv:2609.00676v1 Announce Type: new Abstract: In the contemporary landscape of software devel-opment, securing sensitive data is paramount to safeguarding organizational reputation, preventing financial losses, and pro…
ADAPT: Agile Diffusion Action Priors for Robust and Steerable Online Text-Driven Humanoid Control
arXiv:2609.00677v1 Announce Type: new Abstract: We present ADAPT, an end-to-end framework for interactive, text-conditioned humanoid whole-body control. Unlike dominant text-to-motion pipelines that generate kinematic mo…
Two-State Max-Plus Comparison Is Decidable
arXiv:2609.00678v1 Announce Type: new Abstract: Daviaud, Guillon, and Merlet proved that comparison of max-plus automata is undecidable under a fixed state bound of 553 and explicitly left the range from 2 to 552 states …
HarmoCore: Functional Latent Diffusion for Sparse Reconstruction of Oscillatory Wave Fields
arXiv:2609.00679v1 Announce Type: new Abstract: Reconstructing oscillatory wave fields from scattered sensors is a severely underdetermined inverse problem. Beyond the challenges of general physical-field reconstruction,…
Context-Aware Intelligent Vehicles
arXiv:2609.00682v1 Announce Type: new Abstract: Intelligent vehicles increasingly support adaptive applications beyond driving themselves, ranging from context-aware ADAS and automated driving to in-cabin monitoring and …
Creative Generation via Multi-Agent Debate: Does Debate Suppress Diversity?
arXiv:2609.00683v1 Announce Type: new Abstract: Creative generation tasks, such as narrative writing and scientific ideation, demand both high-quality outputs and distinct responses across independent runs to maximize ex…
Visual Framing for News Stance Detection via Image Generation
arXiv:2609.00685v1 Announce Type: new Abstract: Article-level news stance detection aims to identify the perspective of news articles toward social issues. Despite advances in stance detection and its importance for trus…
A Study of Hidden-State Optimization Order in Predictive Coding Networks
arXiv:2609.00686v1 Announce Type: new Abstract: Local learning methods offer an alternative to end-to-end backpropagation, but their unstructured local objectives can produce weak feature learning in deep networks. We st…