Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Uniform a priori bounds and error analysis for the Adam stochastic gradient descent optimization method
arXiv:2603.18899v2 Announce Type: replace Abstract: The adaptive moment estimation (Adam) optimizer proposed by Kingma & Ba (2014) is presumably the most popular stochastic gradient descent (SGD) optimization method for …
Rigorous Error Certification for Neural PDE Solvers: From Empirical Residuals to Solution Guarantees
arXiv:2603.19165v2 Announce Type: replace Abstract: Uncertainty quantification for partial differential equations is traditionally grounded in discretization theory, where solution error is controlled via mesh/grid refin…
Revealing Multi-View Hallucination in Large Vision-Language Models
arXiv:2603.23934v2 Announce Type: replace Abstract: Large vision-language models (LVLMs) are increasingly being applied to multi-view image inputs captured from diverse viewpoints. Despite this growing use, current LVLMs…
Process-Aware AI for Rainfall-Runoff Modeling: A Mass-Conserving Neural Framework with Hydrological Process Constraints
arXiv:2603.25093v2 Announce Type: replace Abstract: Machine learning models can achieve high predictive accuracy in hydrological applications but often lack physical interpretability. The Mass-Conserving Perceptron (MCP)…
SafeMath: Safe Solutions for Unsafe Math Word Problems
arXiv:2603.25201v3 Announce Type: replace Abstract: Recent research points toward LLMs being manipulated through adversarial and seemingly benign inputs, resulting in harmful, biased, or policy-violating outputs. In this…
Bridging the Gap Between Stable Marriage and Stable Roommates: A Parameterized Algorithm for Optimal Stable Matchings
arXiv:2603.26943v4 Announce Type: replace Abstract: In the Stable Roommates Problem (SR), a set of $2n$ agents rank one another in a linear order. The goal is to find a matching that is stable: one that has no pair of ag…
Over-Refusal and Representation Subspaces: A Mechanistic Analysis of Task-Conditioned Refusal in Aligned LLMs
arXiv:2603.27518v4 Announce Type: replace Abstract: Aligned language models that are trained to refuse harmful requests also exhibit over-refusal: they decline safe instructions that seemingly resemble harmful instructio…
APEX-EM: Non-Parametric Online Learning for Autonomous Agents via Structured Procedural-Episodic Experience Replay
arXiv:2603.29093v3 Announce Type: replace Abstract: LLM agents rerun full reasoning for every task, even one they solved moments earlier. We introduce \textbf{APEX-EM}, a non-parametric experience memory that stores comp…
VectorGym: A Multi-Task Benchmark for SVG Code Generation, Sketching and Editing
arXiv:2603.29852v2 Announce Type: replace Abstract: We introduce VectorGym, a comprehensive benchmark suite for Scalable Vector Graphics (SVG) that spans generation from text and sketches, complex editing, and visual und…
Oblivion: Self-Adaptive Agentic Memory Control through Decay-Driven Activation
arXiv:2604.00131v3 Announce Type: replace Abstract: Human memory adapts through selective forgetting: experiences become less accessible over time but can be reactivated by reinforcement or contextual cues. In contrast, …
IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language Models
arXiv:2604.00757v3 Announce Type: replace Abstract: Large Vision Language Models show impressive performance across image and video understanding tasks, yet their computational cost grows rapidly with the number of visua…
TRU: Targeted Reverse Update for Efficient Multimodal Recommendation Unlearning
arXiv:2604.02183v4 Announce Type: replace Abstract: Multimodal recommendation systems (MRS) jointly model user-item interaction graphs and rich item content, but this tight coupling makes user data difficult to remove on…
Training-Free Refinement of Flow Matching with Divergence-based Sampling
arXiv:2604.04646v2 Announce Type: replace Abstract: Flow-based models learn a target distribution by modeling a marginal velocity field, defined as the average of sample-wise velocities connecting each sample from a simp…
DiffHDR: Re-Exposing LDR Videos with Video Diffusion Models
arXiv:2604.06161v3 Announce Type: replace Abstract: Most digital videos are stored in 8-bit low dynamic range (LDR) formats, where much of the original high dynamic range (HDR) scene radiance is lost due to saturation an…
Accurate Residues for Floating-Point Debugging
arXiv:2604.06258v2 Announce Type: replace Abstract: Floating-point arithmetic is error-prone and unintuitive. Floating-point debuggers instrument programs to monitor floating-point arithmetic at run time and flag numeric…
Cut Finite Element Methods for Convection-Diffusion in Mixed-Dimensional Domains
arXiv:2604.07162v2 Announce Type: replace Abstract: We develop a cut finite element method (CutFEM) for convection--diffusion problems posed on mixed-dimensional domains, i.e., unions of manifolds of different dimensions…
KV Cache Offloading for Context-Intensive Tasks
arXiv:2604.08426v5 Announce Type: replace Abstract: With the growing demand for long-context LLMs across a wide range of applications, the key-value (KV) cache has become a critical bottleneck for both latency and memory…
FrameCrafter: Novel View Synthesis as Video Completion
arXiv:2604.08500v2 Announce Type: replace Abstract: We tackle the problem of sparse novel view synthesis (NVS) using video diffusion models; given $K$ ($\approx 5$) multi-view images of a scene and their camera poses, we…
What Drives Representation Steering? A Mechanistic Case Study on Steering Refusal
arXiv:2604.08524v2 Announce Type: replace Abstract: Applying steering vectors to large language models (LLMs) is an efficient and effective model alignment technique, but we lack an interpretable explanation for how it w…
LLM-PRISM: Characterizing Silent Data Corruption from Permanent GPU Faults in LLM Training
arXiv:2604.10390v2 Announce Type: replace Abstract: Large-scale LLM training is increasingly susceptible to hardware defects stemming from manufacturing escapes and silicon aging. These defects manifest as Silent Data Co…