Health
988 storiesPublic health and medicine worldwide — sourced from WHO News.
Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning
arXiv:2607.14183v1 Announce Type: new Abstract: Egocentric videos of human manipulation provide scalable supervision for embodied intelligence, yet existing resources rarely combine low-cost continuous capture, manipulat…
Closed-Loop Knowledge Dynamics: An Operational Framework for Saturation and Escape
arXiv:2607.14185v1 Announce Type: new Abstract: Feedback-driven loops support iterative improvement in large language models, reinforcement learning, and autonomous discovery, yet their gains often diminish under repeate…
NexForge: Scaling Executable Agent Tasks via Requirement-First Synthesis
arXiv:2607.14186v1 Announce Type: new Abstract: Scaling executable agent training data is bottlenecked by substrate-first methods that tie task generation to predefined tools, repositories, or skill graphs: expanding cov…
RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination
arXiv:2607.14187v1 Announce Type: new Abstract: Embodied cognition requires agents to connect high-level task reasoning with the physical states to be achieved. We introduce Hy-Embodied-RxBrain, an embodied cognition fou…
MultiRef-Compass: Towards Comprehensive Evaluation of Multi-Reference-to-Audio-Video Generation
arXiv:2607.14189v1 Announce Type: new Abstract: Multi-reference-to-audio-video (MR2AV) generation aims to generate coherent audio-video content conditioned on multiple references and textual instructions. Existing benchm…
A Temporal Machine Learning-Based Time-to-Event Model for Predicting ALS Progression and Healthcare Utilization
arXiv:2607.14190v1 Announce Type: new Abstract: Amyotrophic lateral sclerosis (ALS) is a progressive and heterogeneous neurodegenerative disease in which predicting clinically meaningful milestones, such as assistive dev…
TEDDY: A Pediatric Foundation Model for Risk Forewarning from ICD-Coded Diagnostic Histories
arXiv:2607.14191v1 Announce Type: new Abstract: Pediatric electronic health records capture developmentally structured clinical trajectories, yet their potential for generative healthcare foundation models remains largel…
Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning
arXiv:2607.14192v1 Announce Type: new Abstract: As recommender systems mature in the past few years, their optimization objectives have evolved from a primary focusing on short-term behavioral signals to a broader emphas…
Inference-Time Concept Suppression and Video-Centric Evaluation for Text-to-Video Models
arXiv:2607.14194v1 Announce Type: new Abstract: Text-to-video (T2V) generators can synthesize realistic and temporally coherent videos, but controllably removing a target concept from a generator remains difficult. Unlik…
How Artificial Intelligence LLM Engines Shape the Global Conflict Information Environment
arXiv:2607.14197v1 Announce Type: new Abstract: Artificial Intelligence (AI) answer engines now field a growing share of the questions that analysts, scholars, and the public ask about issues of peace and conflict. Large…
Generalised Reachability Games
arXiv:2607.14199v1 Announce Type: new Abstract: We study two-player zero-sum turn-based games played on graphs with multiple reachability objectives called generalised reachability games. In classic reachability games th…
Augmentations for Robust and Efficient Imitation Learning in Streamed Video Games
arXiv:2607.14200v1 Announce Type: new Abstract: Imitation learning is an appealing way to scale game-playing agents to complex 3D environments by training policies to map visual observations to actions from human demonst…
KeyFrame-Compass: Towards Comprehensive Evaluation of Keyframe-Conditioned Video Generation
arXiv:2607.14202v1 Announce Type: new Abstract: Video generation increasingly relies on keyframe-based workflows, where creators specify a sequence of reference images to guide generation. Although recent models support …
Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation
arXiv:2607.14203v1 Announce Type: new Abstract: 3D simulation platforms are critical for autonomous driving because they enable end-to-end policy evaluation, thereby reducing development costs and improving safety. In re…
Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks
arXiv:2607.14205v1 Announce Type: new Abstract: Federated learning (FL) enables multi-institutional training on clinical text without sharing raw data, but gradient inversion can reconstruct sensitive information from sh…
SeeSE3: Emergence of 3D Space in Vision Features
arXiv:2607.14228v1 Announce Type: new Abstract: In this paper, we ask whether vision foundation models construct representations that reflect the intrinsic properties of 3D Euclidean space. Unlike previous works that pro…
LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks
arXiv:2607.14233v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) have had a broad research impact in modeling domains governed by partial differential equations (PDE). However, PINNs have been sho…
ICAConfPubs: A Dataset and User Interface for ICA Conference Papers (2003-2018)
arXiv:2607.14234v1 Announce Type: new Abstract: This paper presents a comprehensive dataset of past ICA (The International Communication Association) annual conference papers from 2003 to 2018, encompassing 27,466 papers…
Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection
arXiv:2607.14236v1 Announce Type: new Abstract: Pretrained vision-language-action (VLA) policies provide strong language-conditioned manipulation knowledge, but they remain largely vision-driven and can struggle once man…
Align AI to Dynamic Human-AI Workflows
arXiv:2607.14240v1 Announce Type: new Abstract: Current alignment approaches typically focus on emulating human behavior using static representations of human preferences, failing to capture the dynamic, context-dependen…