Health
988 storiesPublic health and medicine worldwide — sourced from WHO News.
Breaking the Model Forgetting Cycle in Long-Incremental 3D Object Detection
arXiv:2607.14560v1 Announce Type: new Abstract: Incremental 3D object detection requires a detector to learn novel object classes while remembering previously learned ones over sequentially arriving data. Previous method…
MARS: Multi-hop Adaptive Retrieval and SPARQL Generation for KGQA
arXiv:2607.14561v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated strong reasoning performance, but their tendency to hallucinate limits their reliability in knowledge-intensive tasks requiri…
Probabilistic Physics-Informed Neural Networks for Estimating Heterogeneous Elastic Properties from Low-Resolution and Noisy Displacement Data
arXiv:2607.14563v1 Announce Type: new Abstract: Estimating spatially heterogeneous elastic properties from low-resolution displacement measurements is a severely ill-posed inverse elasticity problem because low resolutio…
Almost Navigable Graphs
arXiv:2607.14564v1 Announce Type: new Abstract: Graph-based methods like HNSW, DiskANN, NSG, and others have become an increasingly popular choice for implementing approximate nearest neighbor search (ANNS) in Vector Dat…
Fully Automated End-to-End Adversary Emulation from MITRE ATT\&CK Based Cyber Threat Intelligence Using LLMs
arXiv:2607.14566v1 Announce Type: new Abstract: This paper presents a fully automated end-to-end framework for adversary emulation from MITRE ATT&CK-aligned CTI reports using LLMs. Unlike prior work, which either execute…
Democratizing Agent Deployment Safety: A Structural Monitoring Approach
arXiv:2607.14570v1 Announce Type: new Abstract: AI software development agents are increasingly capable of modifying infrastructure and security critical systems, creating risks where an agent completes its assigned task…
Gate-Zero Growth: A Geometric Framework for Function-Preserving Continual Learning
arXiv:2607.14571v1 Announce Type: new Abstract: We introduce \emph{gate-zero growth}, a function-preserving (FP) operator for continual learning that adds new residual blocks through a zero-initialised gate. Under a tran…
Alipay-PIBench: A Realistic Payment Integration Benchmark for Coding Agents
arXiv:2607.14573v1 Announce Type: new Abstract: Payment integration is a demanding repository-level software task: agents must select a suitable product, implement coordinated client-server flows, verify payment outcomes…
Collaborative Spatial Learning with Multi-LLM Agents in Networked Social Experiments
arXiv:2607.14574v1 Announce Type: new Abstract: Collective problem solving often requires that group members consider the tradeoff between exploitation of known solutions and exploration for new ones, where information o…
Penny: Transition Network Analysis of Learner-Chatbot Interactions in Scaffolded EFL Writing
arXiv:2607.14575v1 Announce Type: new Abstract: Generative AI chatbots promise to transform English as a Foreign Language (EFL) writing by providing immediate, personalised feedback. However, their pedagogical value depe…
Sharp Stability Threshold and Certification for Designing Stable Residual Architectures
arXiv:2607.14576v1 Announce Type: new Abstract: We propose \emph{the sublinear-growth principle} for deep residual architectures -- a sharp stability threshold on the input-magnitude exponent of every residual block's ve…
Beyond Implicit Force: Evaluating Explicit Force-Torque Proxies in Action Chunking with Transformers
arXiv:2607.14578v1 Announce Type: new Abstract: Contact-rich manipulation requires policies to infer interaction state from signals that are often weakly observable through vision and kinematics alone. Action Chunking wi…
Skeleton: Visual Authoring of Non-visual Data Experiences
arXiv:2607.14579v1 Announce Type: new Abstract: When sighted practitioners author accessible data visualizations, they build navigation structures (the nodes, edges, and input bindings that govern how assistive technolog…
Advanced Image Generation: Negative Prompt Optimization and Latent Classifier Guidance
arXiv:2607.14580v1 Announce Type: new Abstract: We present a novel system that integrates negative prompt optimization via a fine-tuned sequence-to-sequence LLM and latent-space classifier guidance to improve the quality…
Multi-LLM Collaborative MRI Report Generation for Visual Instruction Tuning in Brain Oncology
arXiv:2607.14581v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) and their extension to vision-language models (VLMs) have made it easier to combine text and images for tasks such as report…
MathCoPilot: An Interactive System for Human-AI Symbiotic Paradigm of Mathematical Research
arXiv:2607.14582v1 Announce Type: new Abstract: Existing LLM-based theorem provers have achieved impressive results on formal mathematics benchmarks, yet they remain confined to acting as autonomous agents that prove a s…
SoftNav: Injecting 3D Scene Tokens into VLMs for Embodied Navigation
arXiv:2607.14586v1 Announce Type: new Abstract: In goal-directed embodied navigation, where an agent must locate a specified target in an unseen environment, 3D scene understanding and navigation reasoning must work in c…
Qubes OS Security in the Public Record
arXiv:2607.14587v1 Announce Type: new Abstract: Qubes OS is a revealing case for security measurement because its architecture makes component boundaries security-relevant. We present a protocol-driven longitudinal analy…
Conversational Tactile Data Interfaces: Co-Designing Accessible Data Experiences with Blind Users Using Refreshable Tactile Displays and Conversational AI
arXiv:2607.14588v1 Announce Type: new Abstract: Combining refreshable tactile displays (RTDs) with conversational AI offers a promising approach to accessible data visualization for people who are blind or have low visio…
Quasi-Belief Propagation and Neural-Network Check Node Processing for BCH Codes
arXiv:2607.14589v1 Announce Type: new Abstract: This paper proposes a quasi-BP decoding scheme for BCH codes that preserves the parallelizable structure of belief propagation while exploiting code automorphisms and optim…