Health
1241 storiesPublic health and medicine worldwide — sourced from WHO News.
A Study of the Limits of Collaborative DCT-Based Image Denoising via Interpretable Neural Networks
arXiv:2609.29334v2 Announce Type: replace Abstract: Image denoising remains a fundamental problem in image restoration, with applications in photography, biomedical, and scientific imaging. Modern deep neural networks ac…
Operator Packages, Proposer Strength, and Construction-Family Plateaus in Office-Scale Verified Search
arXiv:2609.29636v2 Announce Type: replace Abstract: Verified search, in which a language model proposes programs, a hard evaluator scores them, and selection keeps the best, has recently moved mathematical records; contr…
Residual Correlation as a Diagnostic for Joint-Uncertainty Gains from GP Coregionalisation
arXiv:2609.30085v2 Announce Type: replace Abstract: In multi-target regression, correlated targets are often coupled through multi-output Gaussian processes with an intrinsic model of coregionalisation (GP-ICM), assuming…
Is the Judge Its Twin? Post-training makes a model's writing more predictable but barely moves its taste, as a judge, toward predictable writing
arXiv:2609.32196v2 Announce Type: replace Abstract: Language models now routinely grade other language models. If post-training makes a model's writing more predictable, it may also teach the same model, as a judge, to r…
On the Behavioral Traits of LLM Agents
arXiv:2609.32776v2 Announce Type: replace Abstract: Users increasingly describe different AI agents as distinct colleagues to work with. AI personality research aims to quantify such impressions by attributing human- lik…
Compositional Safety Failures in Harness Evolution: Identification and Runtime Monitoring
arXiv:2609.33123v3 Announce Type: replace Abstract: Self-evolving agent harnesses continually update persistent components such as memory, prompts, skills, and tools. We call this process harness evolution. However, such…
R$^2$ Flow: Recursive Self-Improvement via Recursive Skill Evolution
arXiv:2609.33867v3 Announce Type: replace Abstract: LLM-based agents can improve themselves across tasks by reusing and revising the skills they orchestrate into executable procedures. Flow-based training fits this loop:…
PROACT-Agent: Progressive Runtime Oversight and Active Circuit-breaking for Real-Time Safety
arXiv:2609.34415v2 Announce Type: replace Abstract: The transition from Large Language Models (LLMs) to agents shifts safety stakes from toxic text to irreversible environmental harm. While current defenses remain largel…
Beyond Legibility: Benchmarking Visual Text Rendering and In-Place Editing in Unified Video Generation
arXiv:2609.36598v3 Announce Type: replace Abstract: A video can exhibit convincing motion and photorealism yet fail immediately when visual text collapses. Unlike generic scene content, visual text is unforgiving in vide…
UnlearningSoup: Is Repeated Tuning Necessary for Large Language Model Unlearning?
arXiv:2609.37076v2 Announce Type: replace Abstract: Large language models trained on vast corpora inherently risk memorizing harmful content that may later re-emerge in their outputs. To mitigate this issue, existing unl…
EvoSteer: Online Self-Evolving Graph Orchestration via Reference-Anchored Credit Assignment
arXiv:2609.38661v2 Announce Type: replace Abstract: In recent years, LLM-based multi-agent systems have been widely applied to orchestrate tool-using agents into executable communication graphs. However, existing self-ev…
CollabFlow: Recursive Self-Improvement of Agent Collaboration
arXiv:2609.38662v3 Announce Type: replace Abstract: Recursive self-improvement (RSI) lets a system improve from its own outcomes; in LLM-based multi-agent systems, Agents refine one another within a task, and outcomes im…
GraphForge: Training Working Agents with Graph-Anchored Workspace Synthesis
arXiv:2609.38923v3 Announce Type: replace Abstract: Working agents need to read diverse files, coordinate tools, and produce deliverables. Training such agents requires tasks built on many real files with verifiable resu…
Scale and Selection: What Makes Automatic Harness Evolution Work for Visual-Interface Robot Agents
arXiv:2609.39304v4 Announce Type: replace Abstract: When an off-the-shelf coding agent is used directly as a robot policy, observing a browser-based 3D interface through screenshots and acting by posing a virtual target …
Deep Truncated FBSDE Method for High-Dimensional Nonlinear PDEs and Fully Coupled FBSDEs
arXiv:2609.39616v2 Announce Type: replace Abstract: In this paper, we introduce a deep truncated forward-backward stochastic differential equation (FBSDE) method for high-dimensional partial differential equations (PDEs)…
DashVMC: Real-Time Discrete World Model Control in Geometry Dash
arXiv:2609.40003v2 Announce Type: replace Abstract: World-model agents are usually evaluated in simulators that can wait for the policy; live games impose the opposite constraint, requiring capture, prediction, and actio…
JusticeAxis: Benchmarking Legal Judgment between Rigid Rule Application and Ungrounded Discretion
arXiv:2610.00353v2 Announce Type: replace Abstract: A sound judgment applies the law to established facts and weighs the circumstances in which they arose. However, existing methods swing between rigid statute matching a…
PACT: End-to-End Learning of Human Pose, Contacts, and Forces from Video
arXiv:2610.00451v3 Announce Type: replace Abstract: Human motion, environmental contacts, and interaction forces are governed by common physical laws, yet existing approaches typically separate visual pose reconstruction…
Redundancy Meets Synergy: Dependency-aware Expert Selection for MoE via Submodular Optimization
arXiv:2610.00558v3 Announce Type: replace Abstract: While Mixture-of-Experts (MoE) models effectively scale model capacity through sparse activation, their deployment is often bottlenecked by prohibitive memory requireme…
MMVistaReason: Toward Open-Data and Post-Training Recipes for Multimodal Reasoning
arXiv:2610.01352v2 Announce Type: replace Abstract: Open multimodal reasoning models have benefited from large-scale reasoning supervision, yet reliable post-training remains challenging due to uneven data quality, ineff…