Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
The Frame Kernel Method for Multiscale Operator Learning
arXiv:2608.25084v2 Announce Type: replace Abstract: We present a natively multiscale operator learning method for the surrogate modeling of (numerical solvers for) multiscale partial differential equations (PDEs). The pr…
CRESSim-Neo: A Batched GPU Simulation Engine for Surgical Robotics and Robot Learning
arXiv:2608.25192v2 Announce Type: replace Abstract: We introduce CRESSim-Neo, a batched GPU simulation engine for surgical robotics and robot learning. CRESSim-Neo combines position-based simulation of rigid bodies, defo…
The Artificial Experimentalist: Discovery and Control of Self-Organizing Phenomena with Autotelic Reinforcement Learning
arXiv:2608.26116v2 Announce Type: replace Abstract: Existing methods for exploring cellular automata and other complex systems mostly operate in open loop: they set initial conditions, execute a full simulation, and obse…
SILK: Closing the Time-of-Check-to-Time-of-Use Gap in RoT-Protected AI Systems
arXiv:2608.26402v2 Announce Type: replace Abstract: Root-of-trust (RoT) authentication verifies a DNN model at load time, but weights may subsequently traverse DRAM, DMA, interconnect, and prefetch paths before reaching …
Benchmarking Confidential Computing Performance on NVIDIA Blackwell GPUs
arXiv:2608.26575v2 Announce Type: replace Abstract: This paper measures the performance impact of running large language model inference and training inside a Trusted Execution Environment (TEE) on NVIDIA B200 GPUs, usin…
Who Remains, What Changes: Identity Anchored Composed Gait Retrieval
arXiv:2608.26632v2 Announce Type: replace Abstract: Gait recognition has achieved remarkable progress, yet existing methods remain confined to rigid visual matching and often overlook the potential of natural language in…
Multi-Image Visual Token Pruning in Large Visual Language Models
arXiv:2608.26806v2 Announce Type: replace Abstract: With the growing demand for processing multiple image sequences in real-world applications, various visual token pruning methods have emerged to mitigate the computatio…
On the Instance Optimality of Bidirectional Dijkstra's Algorithm
arXiv:2608.26952v2 Announce Type: replace Abstract: Recent work by Haeupler, Hlad\'ik, Rozhon, Tarjan, and T\v{e}tek on the instance optimality of shortest-path algorithms established several results concerning Dijkstra'…
pro-team at LLMs4OL 2026 Tasks Flagship and Reuse: Retrieval-Augmented Generation and Vocabulary-Constrained Filtering for Ontology Learning
arXiv:2608.27101v2 Announce Type: replace Abstract: Ontology learning from text remains challenging despite significant progress in Large Language Models (LLMs), which can hallucinate domain terms, produce inconsistent f…
Successive Capacity Growth: Task-Complexity-Driven Width and Depth Expansion for Vision Transformer Encoders in JEPA World Models
arXiv:2608.27367v3 Announce Type: replace Abstract: Joint-Embedding Predictive Architectures (JEPAs) for world modeling typically employ fixed-size Vision Transformer encoders that are over-provisioned for simple tasks a…
RATIO: A Benchmark for Retrieval Across Typed Ideation Operations in Scientific Literature
arXiv:2608.27394v3 Announce Type: replace Abstract: Retrieved scientific literature can serve as inspiration for both human and AI scientists. Inspiration can take different forms: prior work may directly suggest how to …
Auditing Generative Audio Calls for Known-Task Audio-LLM Evaluation
arXiv:2608.27817v2 Announce Type: replace Abstract: Speech and audio LLMs are often evaluated by asking whether a waveform prompt beats an automatic speech recognition (ASR) transcript. For known closed-set tasks, that c…
AI Alignment through a Game-theoretic Lens: A Survey
arXiv:2608.27910v2 Announce Type: replace Abstract: As large language models and increasingly capable AI agents are deployed in high-risk settings, aligning them with complex human values has become a central challenge. …
A Simpler Analysis of the Bansal-Jiang Quasi Monte-Carlo Algorithm via Haar Wavelets
arXiv:2608.27986v2 Announce Type: replace Abstract: Numerical integration---approximating the integral of a function $f$ using $n$ point evaluations---is a central task in science and engineering. The two main paradigms …
Beyond the Bethe Approximation of the Permanent
arXiv:2608.28031v2 Announce Type: replace Abstract: The canonical Bethe approximation gives a deterministic approximation to the permanent of every nonnegative matrix within a factor of $(\sqrt{2})^n$. We improve the bas…
Finite Sample Bounds for Composite Hypothesis Testing
arXiv:2608.28068v2 Announce Type: replace Abstract: We investigate composite binary hypothesis testing in the finite sample regime under asymmetric error constraints. Using R\'enyi divergences, we derive explicit achieva…
Performative Privacy: When Differential Privacy Maximizes Utility
arXiv:2608.28198v2 Announce Type: replace Abstract: Privacy-preserving learning is often motivated by the idea that protecting users' data can preserve trust and thus participation, improving utility in the long term. Ho…
Significance-Driven Semantic Communication
arXiv:2608.28441v2 Announce Type: replace Abstract: In this paper, we study a significance-driven cross- layer semantic communication design problem. Based on sta- tistical decision theory, we introduce an information-th…
SignRR: Retrieve and Refine Real Motion for Sign Language Production
arXiv:2608.28568v2 Announce Type: replace Abstract: Sign language production (SLP) aims to generate continuous signing motion from spoken language, often through gloss-to-pose generation. Prior work mainly follows two pa…
AutoScientist-Quant: Self-Evolving Coding Agents for Automatic Research in Quantitative Investment
arXiv:2608.28632v2 Announce Type: replace Abstract: Large language model agents can discover alphas, yet current methods have three weaknesses. The search cannot adapt during the run, automation usually ends at alpha gen…