Health
1301 storiesPublic health and medicine worldwide — sourced from WHO News.
Gate Initialisation versus Recurrent Dropout and Zoneout in Learning Long Dependencies: A Controlled Study of LSTM and GRU Networks on Synthetic Tasks
arXiv:2610.29034v1 Announce Type: new Abstract: Dropout and zoneout are routinely added to long short-term memory (LSTM) and gated recurrent unit (GRU) networks, but, to our knowledge, their placements have not been cros…
GRAIL: From Saliency to Semantics in Time-Series Explanation
arXiv:2610.29036v1 Announce Type: new Abstract: Explaining a time-series model requires both locating the evidence and extracting meaningful knowledge from it. Yet a single timestep is not a semantic unit: the meaningful…
Near-Optimal Consistency-Robustness Bounds for Non-Clairvoyant Scheduling
arXiv:2610.29037v1 Announce Type: new Abstract: We study the problem of characterizing the optimal consistency--robustness tradeoff for single-machine non-clairvoyant scheduling with predicted processing times. For a fix…
HumanCentric-Scenes-AI: A Human-Curated Multimodal Dataset of AI-Generated Human-Centric Scenes Across Surveillance, Occupational Portraits, AI-Edited Images, a…
arXiv:2610.29045v1 Announce Type: new Abstract: We introduce HumanCentric-Scenes-AI, a human-curated dataset of 296 AI-generated stimuli that depict people across four contexts in which people encounter AI-generated medi…
AutoFraming: Synthesizing Dynamic Frames of C Code with LLMs
arXiv:2610.29046v1 Announce Type: new Abstract: Large language models (LLMs) have shown considerable promise in synthesizing formal specifications from source code. However, existing approaches primarily focus on functio…
Weakly Supervised Fish Segmentation through Point-Supervised Tracking and Motion-Informed Language
arXiv:2610.29047v1 Announce Type: new Abstract: Understanding the properties of fish populations is increasingly important. Analyzing fish length, width, and mass is integral to maintaining healthy stock in the aquacultu…
ART-MPG: Autoregressive R/T Manifold Path Guiding
arXiv:2610.29049v1 Announce Type: new Abstract: Specular chains concentrate important transport in small regions of path space and the structure depends on chain topology. We introduce ART-MPG, a compact neural model tha…
Our Own Jev: Typed Decisions in One Forward Pass, from an In-House Judge to Open LoRA Models
arXiv:2610.29052v1 Announce Type: new Abstract: A typed decision maps evidence, a question and a fixed set of options to a probability for every option, computed in one forward pass, by reading a language model's logits …
Symmetry-Oriented Testing Framework for Variational Quantum Algorithms
arXiv:2610.29053v1 Announce Type: new Abstract: Testing quantum software is challenging because quantum states cannot be directly inspected. Variational quantum algorithms (VQAs) are a particularly important target as th…
Dynamics of Hidden Learning Structure
arXiv:2610.29054v1 Announce Type: new Abstract: A learner's present predictions do not fully determine how it will learn next. We study the dynamics of hidden learning structure through two related operations. Fiber Regu…
Does Every Instance Count Equally? Order Effects in LLM Multi-Instance Processing
arXiv:2610.29057v1 Announce Type: new Abstract: Users increasingly rely on large language models (LLMs) to analyse collections of independent inputs, such as product reviews or social media posts, and return a single agg…
Derivation Depth Exposes Reasoning Failures in Tool-Augmented Music Analysis
arXiv:2610.29060v1 Announce Type: new Abstract: Audio-language models remain unreliable at extracting basic musical properties from audio, motivating pipelines that place a music information retrieval (MIR) tool between …
OccJEPA: Occlusion as Masking for Amodal Video Segmentation
arXiv:2610.29061v1 Announce Type: new Abstract: Amodal video segmentation asks for the complete mask of an object in every frame, including the parts hidden behind other objects. The best current methods generate these m…
Distilling Multi-Teacher Scoring Principles for Unsupervised Time Series Anomaly Detection
arXiv:2610.29063v1 Announce Type: new Abstract: Time series anomalies take diverse forms, and individual detectors encode different anomaly scoring principles that rarely cover all anomaly types. Recent unsupervised time…
Zero Knowledge for Free up to Linear Query Bounds: Quasilinear-Size Constant-Query Zero-Knowledge PCPs
arXiv:2610.29066v1 Announce Type: new Abstract: We show that for all polynomials $T$ and $b$, every relation in NTIME($T$) has a binary PCP with $O(1)$ non-adaptive queries, perfect completeness, soundness error 1/2 and …
The Price of Choice in Selective Prediction
arXiv:2610.29067v1 Announce Type: new Abstract: A selective classifier may be claimed to satisfy a risk-coverage contract if some rule from a predeclared menu (a threshold or a union of $K$ score intervals) attains cover…
A Large-Scale Evaluation of Role-Enhanced Zero-Shot Chain-of-Thought Prompting
arXiv:2610.29073v1 Announce Type: new Abstract: This paper proposes Role-Enhanced Zero-Shot Chain-of-Thought (RE-ZS-CoT), a prompting framework that systematically integrates domain-specific expert roles to enhance reaso…
Value-Rectified Distillation for Flow-based Offline Reinforcement Learning
arXiv:2610.29075v1 Announce Type: new Abstract: We aim to address the problem of Out-of-Distribution (OOD) Mode Averaging, a critical problem that emerges when distilling Flow Matching (FM) based behavior policies in off…
Causal world models under physical parameter shifts
arXiv:2610.29088v1 Announce Type: new Abstract: World models predict how embodied systems evolve under actions, but their accuracy can degrade when physical conditions move outside the training distribution. We study two…
ReSeg: Retraining-free segmentation of abdominal organs via generalizable semantic representation learning
arXiv:2610.29090v1 Announce Type: new Abstract: Abdominal organ segmentation is essential in modern medical applications. While existing deep learning approaches demonstrate promising performance, their heavy reliance on…