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988 storiesPublic health and medicine worldwide — sourced from WHO News.
Reinforcing Egocentric Spatial Perception in Multimodal Large Language Models via Ego Scene Augmentation
arXiv:2607.14497v1 Announce Type: new Abstract: Egocentric Visual Question Answering (VQA) has attracted widespread attention as an important task for enabling Multimodal Large Language Models (MLLMs) to interact with th…
Neural Very Weak Formulations enabling Hardware-Oriented deep PDE solvers
arXiv:2607.14498v1 Announce Type: new Abstract: We show, as a proof of concept, that least-squares very weak formulations of elliptic problems can be effectively discretized by neural networks possessing low regularity, …
Contextualized Evaluation of Vision Language Models through Dynamic, Multi-turn Interactions
arXiv:2607.14499v1 Announce Type: new Abstract: Multi-modal Large Language Models (MLLMs) have made substantial advances on benchmarks, yet their real-world effectiveness remains uncertain. This gap stems from the fundam…
Formal Verification for Deep Learning-based Power Control in Massive MIMO
arXiv:2607.14500v1 Announce Type: new Abstract: Deep learning is a promising approach to optimize wireless communication by simplifying the search for near-optimal solutions. Prior studies on deep learning-based wireless…
Space-Entropy Lower Bounds for Random Sampling
arXiv:2607.14503v1 Announce Type: new Abstract: We prove fundamental space lower bounds for exact random sampling using an entropy source of i.i.d. uniform bits. A classic result from information theory shows that genera…
Physical Reservoir Signal Acquisition for Sub-Nyquist Waveform Reconstruction
arXiv:2607.14504v1 Announce Type: new Abstract: Physical reservoir computing has traditionally exploited the dynamics of physical systems for computation, enabling tasks such as inference, classification, and prediction.…
Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards
arXiv:2607.14506v1 Announce Type: new Abstract: While reinforcement learning with verifiable rewards (RLVR) is widely used to improve the reasoning capabilities of large language models (LLMs), the generalizability of th…
DRIFT: Drift and Aggregation for Motion Planning
arXiv:2607.14507v1 Announce Type: new Abstract: End-to-end trajectory planners need to represent multiple plausible driving behaviors while producing a single executable trajectory under real-time constraints. Proposal-b…
A Distributed PI+Reset Scheme for Discrete-Time Economic Dispatch of A Grid-connected BESS Network
arXiv:2607.14508v1 Announce Type: new Abstract: This article investigates the discrete-time economic dispatch (ED) problem of a battery energy storage system (BESS) network with an energy router (ER). The continuous incr…
Multi-Scale ViT Inference with Habitat-Fit Priors and kNN Retrieval for Multi-Species Plant Identification
arXiv:2607.14509v1 Announce Type: new Abstract: This paper describes DS@GT ARC's third-place solution to the PlantCLEF 2026 challenge on multi-species plant identification in vegetation quadrat images, where systems must…
VLT: A Vision-Language-Time Series Multimodal Foundation Model for Industrial Intelligence
arXiv:2607.14510v1 Announce Type: new Abstract: Industrial time series serve as the foundation for Prognostics and Health Management (PHM) to ensure the reliability and safety of industrial equipment such as aero-engines…
RetroAgent: Harnessing LLMs to Search Over Structured Memory for Agentic Retrosynthesis Planning
arXiv:2607.14512v1 Announce Type: new Abstract: Multi-step retrosynthesis planning seeks to decompose a target molecule into commercially available building blocks through a sequence of feasible reactions. The vast combi…
Compression of 3D Gaussian Splatting Data Using GPU-friendly Graphics Texture Coding
arXiv:2607.14513v1 Announce Type: new Abstract: Techniques for modeling 3D scenes from image collections, such as 3D Gaussian Splatting (3DGS), are capable of generating high-quality novel views by leveraging graphics pr…
VTM-Nav: Hierarchical Visual-Topological Memory for Cross-Episode Object-Goal Navigation
arXiv:2607.14514v1 Announce Type: new Abstract: Object-goal navigation requires an embodied agent to locate and reach an instance of a specified object category in an indoor environment. Recent training-free approaches l…
Adaptive Runge-Kutta Step Control Buys Training Loss, Not Generalization: An Honest Compute-Matched Study of RK-Adam Optimizers
arXiv:2607.14516v1 Announce Type: new Abstract: Interpreting optimizers as gradient-flow discretizations has motivated applying higher-order Runge-Kutta (RK) integrators to neural networks. We build a representative Adam…
Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition
arXiv:2607.14521v1 Announce Type: new Abstract: Visual generative models inevitably absorb undesirable concepts from uncurated pretraining data, making concept erasure essential for safe deployment. Existing erasure meth…
A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models
arXiv:2607.14522v1 Announce Type: new Abstract: We formulate reinforcement learning (RL) in continuous time with discrete state spaces and possibly arbitrary action spaces via a stochastic control approach, where the sta…
WrAFT: a Modularized Automated Writing Evaluation System for Argumentative Essays
arXiv:2607.14524v1 Announce Type: new Abstract: This study presents WrAFT, a Writing Assessment and Feedback Tool, that delivers both accurate and reliable scores and effective comprehensive feedback to argumentative ess…
Controlled Reformulation Testing for Logical Consistency in Large Language Models
arXiv:2607.14528v1 Announce Type: new Abstract: Large language models (LLMs) frequently contradict themselves when the surface form of a logically equivalent question changes. We present a benchmark of 350 question famil…
xHC: Expanded Hyper-Connections
arXiv:2607.14530v1 Announce Type: new Abstract: Hyper-Connections (HC) expand the residual stream of Transformers into $N$ parallel streams, providing a form of memory scaling beyond model width and depth. Manifold-Const…