Health
1301 storiesPublic health and medicine worldwide — sourced from WHO News.
SimPT: An Automated Simulation Framework for Intervention-Based VLA Post-Training
arXiv:2610.29161v1 Announce Type: new Abstract: Human-in-the-loop (HIL) post-training improves vision-language-action (VLA) policies through expert corrections, but costly human supervision and repeated real-robot evalua…
Why is AI-generated language so hard to understand?
arXiv:2610.29162v1 Announce Type: new Abstract: There is a widespread sense that AI-generated text has recently become harder to understand. In this study, we investigate a set of psycholinguistic features that are known…
Carving Radiology Reports at Their Evidential Joints: Anatomical Region Sets as Generation Units
arXiv:2610.29165v1 Announce Type: new Abstract: Organizing radiology reports into independently generated units offers a way to generate fine-grained clinical content and bind it to visual evidence. However, existing met…
TeachBack: Learning to Teach via Bidirectional Preference Optimization for On-Policy Self-Distillation
arXiv:2610.29167v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) enables a language model to learn from a Teacher instantiated from the same model but given access to privileged information, such as a r…
How Representational Priors Shape Generalization in World Action Models
arXiv:2610.29168v1 Announce Type: new Abstract: World action models (WAMs) are shown to substantially diverge under generalization performance based on their generative backbones. We investigate this gap through the repr…
SMR: Learning streaming motion retargeting for humanoids from human semantic
arXiv:2610.29169v1 Announce Type: new Abstract: Retargeting human motion to humanoids requires preserving motion semantics while accounting for the robot's physical constraints. Kinematic pipelines prescribe a robot traj…
TrainBridge: Agentic NPU Training Optimization Guided by GPU Compilation Evidence
arXiv:2610.29171v1 Announce Type: new Abstract: We study how to improve training efficiency on Ascend NPUs. In the NPU training programs we study, framework-level compilation optimizations such as operator fusion are onl…
Conditional Flow Models Convert Epistemic Uncertainty into Apparent Aleatoric Variance
arXiv:2610.29172v1 Announce Type: new Abstract: Conditional Flow Models (CFMs) are increasingly being used in place of deterministic predictors across machine learning, including for tasks that were classically formulate…
LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency
arXiv:2610.29174v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have made rapid progress in general visual understanding, yet they still struggle with fine-grained instance-level consistency veri…
Regular Syndrome Decoding Is Easier Than Previously Estimated
arXiv:2610.29175v1 Announce Type: new Abstract: The Regular Syndrome Decoding (RSD) problem is a structured variant of classical Syndrome Decoding and underlies a growing number of efficient cryptographic constructions, …
Multi-Scale Latent Temporal Compression Attention and Video-Text Cross Attention Fusion for Video Action Detection
arXiv:2610.29176v1 Announce Type: new Abstract: In video action detection, modeling the temporal dependencies in continuous video streams is crucial. Previous methods based on deep neural networks can perform frame-level…
ROCOCO: Robust Outline Completion of Occluded Curvilinear Objects
arXiv:2610.29177v1 Announce Type: new Abstract: We propose a learning-based generative model for completing curvilinear features under occlusion by environmental obstacles. To this end, we adopt a flow matching-based app…
Correlated Failures of AI Approval Monitors
arXiv:2610.29178v1 Announce Type: new Abstract: Before an AI agent takes a consequential action, such as paying, messaging or changing code, several monitors check it. Their verdicts are combined by aggregating scores or…
Resuming Vision-Language Inference across Onboard Interruptions
arXiv:2610.29183v1 Announce Type: new Abstract: Executing vision-language models (VLMs) aboard low-Earth orbit satellites enables flexible processing of observation data without first downlinking it to the ground. On com…
Optimal Labeling Schemes for $\Gamma$-Free Matrices
arXiv:2610.29184v1 Announce Type: new Abstract: We study labeling schemes for $p \times q$ $\Gamma$-free binary matrices, which do not contain a submatrix of the form $\Gamma = \begin{pmatrix} 1 & 1 \\ 1 & 0 \end{pmatrix…
CloudIR-Bench: A Benchmark for Root Cause Analysis and Mitigation of Cloud Incidents
arXiv:2610.29185v1 Announce Type: new Abstract: Root cause analysis (RCA) and mitigation prediction are essential for incident management, enabling the identification of underlying causes of failures and ensuring the rel…
A Decade of Learning-Based Control: From Theoretic Foundations to Practical Deployment
arXiv:2610.29187v1 Announce Type: new Abstract: Motivated by ten years of Learning-Based Control Invited Sessions at the IEEE Conference on Decision and Control (CDC), this tutorial paper reviews key advances at the inte…
LTEM: LLM-Friendly Table-Enhanced Markdown for Table Understanding and Generation
arXiv:2610.29188v1 Announce Type: new Abstract: Tables in real-world documents, including scientific papers, financial reports, and statistical summaries, frequently use merged cells, multi-level headers, and sectioned l…
Reasoning-Search-Augmented LLMs: An Operational Taxonomy, Benchmark Analysis and Controlled Evidence Synthesis
arXiv:2610.29189v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate impressive emergent reasoning capabilities, yet they remain constrained by fixed model parameters and finite context windows. Even …
Truncated Out-of-Bag Probability Gain: A Noise-Robust Criterion for Random-Forest Wrapper Feature Selection
arXiv:2610.29195v1 Announce Type: new Abstract: Random-Forest wrapper feature selection can use out-of-bag (OOB) predictions as a built-in validation signal, but the criteria that decide each forward step accumulate OOB …