Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Poisson-Gamma Dynamical Systems with Time-varying Transition Dynamics
arXiv:2609.00896v1 Announce Type: new Abstract: Bayesian methodologies for handling count-valued time series have gained prominence due to their ability to infer interpretable latent structures and to estimate uncertaint…
Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting
arXiv:2609.00898v1 Announce Type: new Abstract: Obtaining labeled data for semantic segmentation in applied settings (e.g., autonomous driving, industrial waste sorting) is expensive and often infeasible at scale. We pre…
HELIOS: From midnight to noon, continuous outdoor urban scene relighting
arXiv:2609.00901v2 Announce Type: new Abstract: Modifying the illumination of driving images is a fundamental challenge, as most datasets are captured at specific times of day. Existing methods rely on synthetic data or …
Lightweight CFR-Based Modulation Adaptation in a Real-Time MIMO-OFDM SDR Testbed
arXiv:2609.00903v2 Announce Type: new Abstract: Conventional link adaptation typically relies on scalar link-quality indicators such as signal-to-noise ratio (SNR), while richer channel state information (CSI) can improv…
In-Context Neurofeedback: Can LLMs Control Their Internal Representations through Privileged Access?
arXiv:2609.00904v1 Announce Type: new Abstract: Whether large language models (LLMs) can control their own internal representations matters for both machine metacognition and AI safety. A recent study applied neurofeedba…
When Metropolis and Hastings Meet Bradley and Terry: Exact MCMC From Preference Voting
arXiv:2609.00905v1 Announce Type: new Abstract: Sampling from distributions conditioned on desired semantic properties is an emerging challenge in modern generative modeling. Metropolis-Hastings (MH) provides a principle…
Peg-in-Bench: A Modular Benchmark for High-Precision Robotic Insertion
arXiv:2609.00906v1 Announce Type: new Abstract: High-precision insertion remains a fundamental challenge in robotic manipulation due to the strict alignment requirements and contact-rich interactions involved. Although p…
Knowing When to Stop: Adaptive Action Chunking via Internal Cross-Attention Dynamics in VLAs
arXiv:2609.00908v1 Announce Type: new Abstract: Action chunking is a standard execution strategy in modern Vision-Language-Action (VLA) frameworks, but fixed execution horizons impose a trade-off between efficiency and a…
A multicenter benchmark and clinically structured metric for coronary CTA report generation
arXiv:2609.00909v1 Announce Type: new Abstract: Reliable evaluation of automated coronary computed tomography angiography (CCTA) report generation requires standardized multicentre benchmarks and clinically structured me…
SwapRec: Warming Up Cold Items Through Training-Time Swaps
arXiv:2609.00913v1 Announce Type: new Abstract: Interactions with cold items negatively impact real-time personalization of ID-based recommender systems. This is because the use of such interactions degrades user prefere…
RPCBench: A Benchmark for Proactive Premise Critique in LLM-based Recommendation
arXiv:2609.00918v1 Announce Type: new Abstract: Large language models are increasingly used as interactive recommender assistants. Their evaluation should therefore go beyond plausible item recommendation and test whethe…
HyperSketch: Controllable Video Sketching in a Style Hyperspace
arXiv:2609.00919v1 Announce Type: new Abstract: Vector sketch animation offers tremendous advantages for multimedia and creative design through concise line expressions and flexible editing. Learning-based generation met…
VerNav: Verifier-First Low-Latency Vision-and-Language Navigation
arXiv:2609.00920v1 Announce Type: new Abstract: Vision-and-Language Navigation (VLN) requires an agent to navigate through unseen 3D environments according to natural-language instructions. Explicit reasoning can improve…
VIBE-Bench: Evaluating Personalized Large Language Models When Profiles Don't Mean Preferences
arXiv:2609.00921v1 Announce Type: new Abstract: Personalized Large Language Models (PLLMs) aim to tailor responses to individual users, where a central challenge is preference reasoning: inferring query-relevant preferen…
On-the-Fly3R: Towards Robust Online 3D Reconstruction with Feed-Forward 3R Models for Large-Scale UAV Scenarios
arXiv:2609.00923v1 Announce Type: new Abstract: While feed-forward 3D reconstruction (3R) offers efficient end-to-end modeling, its application in large-scale UAV mapping is hindered by the prohibitive memory cost of Tra…
Beyond the Image Plane: World-Grounded Queries for Multi-Object Tracking
arXiv:2609.00924v1 Announce Type: new Abstract: Monocular videos record 3D scenes as sequences of 2D image-plane projections, obscuring depth and spatial relationships. Multi-object trackers localize and associate object…
Context-Grounding Gains Are Mediated by Pre-existing Machinery: Auditing GRPO, SFT, and DPO
arXiv:2609.00925v1 Announce Type: new Abstract: Language models can ignore prompt evidence when it conflicts with memorized knowledge. Post-training can make models follow such evidence more reliably, but it is unclear w…
DualStake: Dual-Path Confidence Calibration in Deep Research Agents
arXiv:2609.00935v1 Announce Type: new Abstract: Deep Research agents tackle knowledge-intensive tasks through multi-round retrieval and decision-oriented generation. However, these agents suffer from severe overconfidenc…
Exact Payload-Decoupling Conditions for Pilot-Only BEM Channel Estimation With Application to OTFS
arXiv:2609.00937v1 Announce Type: new Abstract: In high-mobility doubly dispersive links, basis expansion models (BEMs) reduce channel dimensionality, yet unknown payload symbols generally contaminate conventional matche…
A Dataset for Modeling Iterative Problem-Solving
arXiv:2609.00940v1 Announce Type: new Abstract: Solving problems through repeated attempts is a sequential modeling task: at each step, the solver receives feedback and decides how to revise their solutions. Predicting w…