Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Reinforcement Learning Enhanced LLM Agents for Complex Vehicle Routing Problems
arXiv:2609.00859v1 Announce Type: new Abstract: Vehicle Routing Problems (VRPs) are fundamental combinatorial optimization problems with widespread applications in various scenarios. The advanced optimization solvers can…
Training-Free Inpainting Across Domains with a Frozen Text-to-Image Diffusion Model
arXiv:2609.00862v1 Announce Type: new Abstract: We show that a frozen generic text-to-image diffusion model can perform conditional inpainting across three evaluated natural-image domains with one fixed controller config…
Conditional Flow Matching for ML-Based Inverse Design Problems
arXiv:2609.00863v1 Announce Type: new Abstract: Engineering inverse design is often limited by the high computational cost of iterative solvers for optimization problems constrained by partial differential equations (PDE…
MemoryWalker: Stop Training Agents on Contexts They Never Saw
arXiv:2609.00865v1 Announce Type: new Abstract: Production agent harnesses such as Claude Code and Qwen-Agent compress context during rollout, but training under compression creates a conditioning problem: every eviction…
Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report Generation
arXiv:2609.00866v1 Announce Type: new Abstract: The rapid advancement of vision-language models (VLMs) has accelerated progress in computational pathology; however, whole-slide image (WSI)-based pathology report generati…
The Visual Insensitivity Gap: Diagnosing When Vision-Language Models Fail to Use Visual Evidence
arXiv:2609.00868v1 Announce Type: new Abstract: Vision-language models are evaluated by aggregate accuracy on multimodal benchmarks, a practice that implicitly assumes the model uses its visual input. We show this assump…
Construction of a DFA for Computing Grundy Numbers in the Successful Derivation Games on Right-Linear Grammars
arXiv:2609.00871v1 Announce Type: new Abstract: Inoue et al. have introduced the successful derivation game (SDG) on context-free grammars (CFGs), which is a generalization of classic heap-based games including subtracti…
Membership Inference in Fine-tuned Diffusion Language Models via Token-level Memorization Asymmetry
arXiv:2609.00873v1 Announce Type: new Abstract: Diffusion language models (DLMs) have recently emerged as an alternative modeling paradigm to autoregressive LMs, offering advantages such as parallel generation and bidire…
Beyond the Clock: Measuring the Value of Adaptive Revision
arXiv:2609.00874v1 Announce Type: new Abstract: As agentic systems become compound systems, increasingly important decisions move above task execution itself: when should a higher-level controller preserve the strategy g…
FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study
arXiv:2609.00875v1 Announce Type: new Abstract: Satellite mega-constellations are emerging as large-scale sensing, communication, and computation fabrics, yet their learning architectures remain largely inherited from te…
Prediction-Robust Service Deployment with Capacity-Aware Edge Admission
arXiv:2609.00877v1 Announce Type: new Abstract: Edge platforms instantiate executable services close to users to reduce request-serving cost, but each instance incurs a one-time deployment cost and remains useful only fo…
Towards reliable multimodal disaster severity assessment through preference optimization and explainable vision-language reasoning
arXiv:2609.00879v1 Announce Type: new Abstract: Reliable disaster damage assessment requires models that provide both accurate predictions and transparent explanations. However, existing multimodal approaches are limited…
iPINN for Broadband CARS Phase Retrieval: A Framework for Function Approximation and Inverse Modeling Problems in Nonlinear Spectroscopy
arXiv:2609.00883v1 Announce Type: new Abstract: Phase retrieval in broadband coherent anti-Stokes Raman spectroscopy (BCARS) is an ill-posed inverse problem. The Raman-like signal is encoded in the imaginary part of the …
Denoising Diffusion Generative Models Secretly Calculate Attentions
arXiv:2609.00885v1 Announce Type: new Abstract: Denoising diffusion models are the dominant architecture for image generation, whereas most natural language generation and modeling are primarily handled by well-known tra…
Using LLMs to Elicit Security Requirements for Service-Oriented Cyber Ranges
arXiv:2609.00886v1 Announce Type: new Abstract: Cyber ranges are complex environments comprising many interacting components and stakeholders with different security concerns. The Service-Oriented Cyber Range (SOR) is no…
Algorithm-Hardware Co-Design of a Lightweight PCG Equalizer with a Fixed Step Size for Massive MIMO
arXiv:2609.00890v1 Announce Type: new Abstract: Coarse quantization in massive multiple-input multiple-output (MIMO) systems reduces power but causes clipping distortions. The Bayesian Expectation-Maximization (BEM) algo…
CacheBridge: Efficient Cross-Model KV Cache Transfer
arXiv:2609.00891v1 Announce Type: new Abstract: Sharing context between LLMs in a multi-model system requires the receiving model to prefill the shared prefix because KV caches are model-specific. Recent closed-form cros…
CARE: Contrastive Anchor-based Rubric Evolution for Large Language Model Post-Training
arXiv:2609.00892v1 Announce Type: new Abstract: Rubric-based reinforcement learning decomposes open-ended instructions into prompt-specific, flexible rubrics, making it better suited than reinforcement learning with veri…
Random-Priority Frontier Routing: Tight $\Theta(n^c)$ Bounds Against $c$-Node Cartels
arXiv:2609.00893v1 Announce Type: new Abstract: We study path diversification in trusted-node networks, where sensitive material is relayed through intermediate nodes, some of which may be compromised. Our randomized rou…
Asymptotic behavior of Eckhoff's method for convergence acceleration of Dirac eigenfunction expansions
arXiv:2609.00895v1 Announce Type: new Abstract: The current paper considers the problem of recovering a vector-function on $[-1,1]$ from a limited number of coefficients of its expansion into a series of eigenfunctions o…