Health
988 storiesPublic health and medicine worldwide — sourced from WHO News.
MAG: A Web-Agent Benchmark and Harness for Multimodal Action and Guide Generation
arXiv:2607.10079v3 Announce Type: replace Abstract: Digital Adoption Platforms (DAPs) are embedded overlays widely used on web systems to guide users through operations inside a page, helping them get started with unfami…
TAC-LOCO: Unified Whole-Body Control for Quadrupedal TACtile-Informed LOCO-Manipulation
arXiv:2607.10132v2 Announce Type: replace Abstract: Dynamic loco-manipulation requires legged robots to coordinate whole-body motion while maintaining stable physical interaction with grasped objects under uncertain exte…
Limited Independence Suffices for Large-k Min-wise Hashing
arXiv:2607.10255v2 Announce Type: replace Abstract: Min-wise hashing and its $k$-min-wise variant are standard tools in similarity estimation, sampling, sketching, and streaming. A $k$-min-wise family requires every pres…
PolyInterview: An LLM-based Platform for Immersive Mock Interview Practice with Comprehensive Multimodal Assessment
arXiv:2607.10310v2 Announce Type: replace Abstract: Preparing for job interviews is important for securing desired positions, yet realistic practice remains difficult to access: real interviews are infrequent, expert moc…
The Hidden Footprint: Making Storage a First-Class Metric for LLM Agent Evaluation
arXiv:2607.11149v2 Announce Type: replace Abstract: LLM agent benchmarks measure task completion, reliability, and inference cost, but not the persistent data an agent run leaves on disk, including logs, context snapshot…
Compile, Then Page: Executable SOP Programs and a Capability-Gated Runtime for Procedural LLM Agents
arXiv:2607.11346v2 Announce Type: replace Abstract: Enterprise agents must follow long-horizon, conditional, safety-critical standard operating procedures (SOPs). We compile machine-readable SOP constraints into executab…
Backbone-Agnostic Stochastic Perturbation Learning for End-to-End Real-World Image Dehazing
arXiv:2607.11623v2 Announce Type: replace Abstract: Real-world paired image dehazing remains challenging because haze degradation is spatially non-uniform, illumination-dependent, and physically ambiguous even when haze-…
SKooP: Symmetric Koopman Predictions for Faster and More Generalizable Legged Robot Locomotion with Reinforcement Learning
arXiv:2607.11624v3 Announce Type: replace Abstract: Reinforcement learning (RL) algorithms classically suffer from poor sample efficiency. In robotics, a recent line of work has emerged addressing this problem by encodin…
The RG-Flow Transformer: Encoding Scale-Free Dynamics in Scarce EEG
arXiv:2607.11950v2 Announce Type: replace Abstract: Brain field potentials are scale-free: their power spectra follow a $1/f^{\beta}$ law whose aperiodic exponent $\beta$ tracks cortical state, and sleep depth in particu…
Cyclic codes over a commutative non-unitary ring of order 4
arXiv:2607.11965v2 Announce Type: replace Abstract: Let $I_2$ be the commutative non-unitary ring of order $4$ arising in the classification of Fine. In this paper, we investigate cyclic codes over $I_2$ through their as…
Completely Reachable Road Coloring
arXiv:2607.12078v2 Announce Type: replace Abstract: We determine which digraphs admit an edge labeling by letters from a finite alphabet such that the resulting labeled digraph is a completely reachable automaton. Such d…
Causal Supervision of Attention for Affective Behaviour Analysis
arXiv:2607.12091v3 Announce Type: replace Abstract: The \textit{11th Affective Behaviour Analysis in-the-wild Competition} includes the Multi-Task Learning Challenge, where participants develop a unified framework for Va…
FlashDiff: Efficient Regional Execution and Scheduling for Diffusion Model Serving
arXiv:2607.12121v2 Announce Type: replace Abstract: Diffusion models have become the central backbone for modern image, video, and audio generation, but their efficient service remains a challenge. Unlike autoregressive …
It is not enough to give your moderation rules to ChatGPT: Policy-as-Prompt Moderation and Its Potential Impacts on Community Governance
arXiv:2607.12149v2 Announce Type: replace Abstract: Content moderation practices and governance paradigms are changing rapidly, as fewer human moderators are deployed as `experts' by social media companies in a centraliz…
From Reconstruction to Interpretation: Zero-Setup Multi-Phase Segmentation of X-ray Tomography Data
arXiv:2607.12175v2 Announce Type: replace Abstract: X-ray tomography enables nondestructive characterization of material microstructures, while advances in micro-CT imaging have accelerated volumetric data acquisition an…
Self-Aware Recursively Self-Improving Agents for Personal Singularity: A Goal-, Scope-, Tool-, and Benchmark-Driven Multi-Agent Architecture
arXiv:2607.12254v2 Announce Type: replace Abstract: Large language model (LLM) agents can plan, use tools, maintain memory, and execute long-horizon tasks. This paper proposes Self-Aware Recursively Self-Improving (SARSI…
VistaVLA: Geometry- and Semantic-Aware 3D Gaussian-Grounded VLA for Robotic Manipulation
arXiv:2607.12356v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models have emerged as a powerful end-to-end paradigm for robotic manipulation by mapping language instructions and 2D visual inputs direct…
ACID: Adaptive Caching for vIDeo generation
arXiv:2607.12358v2 Announce Type: replace Abstract: Video diffusion models produce high-quality generations but remain slow at inference due to their sequential denoising procedure. Caching-based acceleration methods add…
Detecting Rendering Bugs in Imperative Data Visualization Libraries via Equivalent Mutations
arXiv:2607.12363v3 Announce Type: replace Abstract: Imperative data visualization libraries construct plots through a sequence of stateful API calls that incrementally create and update graphic elements. Rendering bugs i…
Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning
arXiv:2607.12395v2 Announce Type: replace Abstract: Reinforcement learning with verifiable rewards without human-annotated data, often referred to as zero RL, has emerged as a powerful paradigm for eliciting chain-of-tho…