Health
1241 storiesPublic health and medicine worldwide — sourced from WHO News.
Rethinking SAE Evaluation: An Atomic Interpretable Unit Framework Reveals Hidden Polysemanticity and Redundancy
arXiv:2610.30474v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) were originally motivated by discovering monosemantic features, a property that characterizes individual features but does not specify what the l…
EmoFI-TTS: Face-Conditioned Expressive Voice Synthesis with Intensity Modulation
arXiv:2610.30477v1 Announce Type: new Abstract: Controlling emotional intensity remains challenging in expressive text-to-speech synthesis, particularly when emotion must be inferred without explicit labels. We propose E…
Externalise the Memory: A Pre-Registered Study of Where an Embodied Agent's Experience Should Live
arXiv:2610.30478v1 Announce Type: new Abstract: Should an embodied agent's experience be baked into its policy weights, or kept external and retrieved at inference? A memory-augmented teacher (a VLM that retrieves lesson…
FIGFLEX: A Mixed-Precision FP-INT GEMM Accelerator Co-Designed with Low-Bit LLM Quantization
arXiv:2610.30480v1 Announce Type: new Abstract: Weight-only quantization keeps LLM activations in floating point and stores weights as low-bit integers, turning the dominant workload into floating-point-integer (FP-INT) …
AVAtt: A Free-Viewing Eye-Tracking Dataset and Benchmark for Visual Attention on Paintings
arXiv:2610.30481v1 Announce Type: new Abstract: Saliency and scanpath models are developed almost exclusively on natural photographs, yet paintings are composed by artists to guide the viewer's eye and differ from photog…
Resource-Aware Scheduling for Distributed Quantum Computing
arXiv:2610.30482v1 Announce Type: new Abstract: Distributed quantum computing (DQC) is a promising near-term approach for executing circuits that exceed the capacity of a single quantum processing unit (QPU). Prior work …
Why Bother Me Again? Benchmarking Personal Agent Memory for Interaction Preferences
arXiv:2610.30485v1 Announce Type: new Abstract: Personal intelligence systems are taking on increasingly complex everyday tasks, yet repeated questions, unnecessary confirmations, and unwanted outreach can turn capable a…
Comb Tensor Network Finite-Difference Time-Domain Algorithms for 2D and 3D Electromagnetic Simulations
arXiv:2610.30486v1 Announce Type: new Abstract: This paper presents efficient 2D and 3D finite-difference time-domain (FDTD) algorithms augmented by the comb tensor network (CTN) representation of the field and auxiliary…
From Single-Actor Environments to Multi-Actor Event Worlds: Can LLMs Be Event World Models?
arXiv:2610.30488v1 Announce Type: new Abstract: World models help agents assess the consequences of their actions before acting. Many real systems, however, involve multiple actors who make their own decisions, can evolv…
What the Trace Shows and What the Label Says: Auditing Behavioral Detectors in Agent Evaluation
arXiv:2610.30491v1 Announce Type: new Abstract: LLM agents are often evaluated by reducing execution traces to labels such as final-answer correctness, tool verification, and fault propagation. These labels are measureme…
Discovery of Singularities in Partial Differential Equations Using Adaptive Numerical Discretizations
arXiv:2610.30492v1 Announce Type: new Abstract: We compute self-similar singularity profiles of partial differential equations (PDEs) using adaptive numerical discretizations based on optimizing a discrete loss (ODIL). T…
Optimal Multitask Representations Under a Rate Constraint: An Information Bottleneck Analysis
arXiv:2610.30493v1 Announce Type: new Abstract: Which pretraining objective yields the best representation for downstream tasks under an information budget? We formalize this problem as a multitask information bottleneck…
From Prose to Properties: Testing Research Claims with ARATest for Agent-Native Science
arXiv:2610.30495v1 Announce Type: new Abstract: AI agents now run experiments and report findings, so research produces claims faster than researchers can check them. Each empirical claim implies a property that must hol…
Entropy bounded compact stencil Runge-Kutta discontinuous Galerkin method for hyperbolic conservation laws
arXiv:2610.30496v1 Announce Type: new Abstract: In this paper we introduce a compact stencil Runge-Kutta discontinuous Galerkin method for the Euler equations of compressible gas dynamics, which preserves a minimum entro…
CARS: a centerline-anchored attention surrogate for coronary blood flow on skeleton-generated lumen geometries
arXiv:2610.30498v1 Announce Type: new Abstract: When the parameter of a PDE surrogate is the flow domain itself, the key/value set of an attention model must encode that domain. We present CARS (Coronary Artery Rapid Sur…
Can LLMs Improve Their Own Harness? A Controlled Study on ARC-AGI-3
arXiv:2610.30499v1 Announce Type: new Abstract: A generally intelligent system acquires new skills efficiently without requiring humans to redesign its software scaffold for every new task. Yet language models rarely act…
PhysibleMDM: Enforcing Inference-Time Physical Feasibility Constraints on Motion Diffusion Models via Noise Optimization
arXiv:2610.30500v1 Announce Type: new Abstract: Motion Diffusion Models (MDMs) can generate diverse and visually appealing human motion; yet, the resulting trajectories frequently violate physical constraints, limiting t…
Rethinking the Evaluation of LLM Fact-Checkers
arXiv:2610.30504v1 Announce Type: new Abstract: Large language models (LLMs) are widely used to answer factual questions, but their answers can contain errors and must be fact-checked claim by claim. Yet the resulting sc…
The Cost of Missed States: Online Tracking with Current-Observation Resets
arXiv:2610.30505v1 Announce Type: new Abstract: An online tracker retains one state and may reset only to the current observation, although its complete observed history is available. Offline knows the future and obeys t…
Behind Aggregate Scores: What Systematically Varying Arena-Hard's LLM Judge Reveals
arXiv:2610.30512v1 Announce Type: new Abstract: LLM judges are used to determine which of two answers is better. Trusting these verdicts requires knowing how repeatable they are and how much they depend on the judge's in…