Health
1086 storiesPublic health and medicine worldwide — sourced from WHO News.
TaLK: Text-attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware Kernel
arXiv:2606.22975v3 Announce Type: replace Abstract: Text-attributed graphs (TAGs) are widely used in many real-world domains, and learning on TAGs requires jointly modeling text semantics and graph structure. A standard …
PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models
arXiv:2606.23092v2 Announce Type: replace Abstract: Humans possess an innate ability to understand fine-grained interpersonal relationships, which is central to everyday social interactions. Although such reasoning is in…
Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?
arXiv:2606.24026v2 Announce Type: replace Abstract: Mechanistic interpretability has made substantial progress in automatically localizing circuits, but explaining what localized components do remains labor-intensive and…
The Web4 Agent Economy: A Large-Scale Empirical Study of the Landscape, Challenges, and Opportunities
arXiv:2606.25876v2 Announce Type: replace Abstract: The Internet is transitioning from Web3 toward Web4, where autonomous agents serve as independent economic actors. These agents can now hold crypto wallets, execute on-…
Fourier--Hankel Moment Recovery in Acoustic Scattering: Multichannel Stabilization and Radial Interface Resolution
arXiv:2606.29678v4 Announce Type: replace Abstract: We study direct recovery of visible phase centers and concentric radial interfaces from full-aperture acoustic far-field data under the Born approximation. Two compleme…
SABER-Math: Automated Benchmark for Information Retrieval Evaluation in Mathematics
arXiv:2606.29894v2 Announce Type: replace Abstract: As agentic AI systems tackle more complex mathematical tasks, they increasingly rely on information retrieval (IR) to search problem databases, theorem libraries, and e…
Can LLM-as-a-Judge Reliably Verify Rubrics in Agentic Scenarios?
arXiv:2606.29920v2 Announce Type: replace Abstract: Rubric-based scoring has become a widely used paradigm in model evaluation, typically with LLM-as-a-Judge (LaaJ) for rubric scoring. However, the reliability of LaaJ fo…
Reweighting Framewise Attention in Video Transformers for Facial Expression Understanding
arXiv:2606.30611v3 Announce Type: replace Abstract: Understanding facial expressions in videos requires modeling subtle and localized facial dynamics under unconstrained conditions. Although recent Vision Transformer (Vi…
AdaBoosting Text Prompts for Vision-Language Models
arXiv:2607.00684v4 Announce Type: replace Abstract: The classification accuracy of pretrained Vision-Language Models (VLMs) relies on the quality of the text prompts. Handcrafted templates and Large Language Model (LLM)-…
Hidden-Shot: Towards One-Shot Task Generalization for Low-Level Vision Generalist Models
arXiv:2607.01535v2 Announce Type: replace Abstract: Despite the intense engagement surrounding low-level vision generalist models, their effectiveness in zero/few-shot scenarios beyond learned tasks remains unverified. T…
Personality Without Persons? A Psychometric Critique of Big Five Testing in Large Language Models
arXiv:2607.02325v2 Announce Type: replace Abstract: Human personality inventories are increasingly used to characterize large language models (LLMs), compare systems, and inform downstream governance claims. Yet, these i…
Heaviside Continuity of Rolling Coefficients for Eliminating Epistemic Entropy in Large Language Models
arXiv:2607.04562v3 Announce Type: replace Abstract: Large language models (LLMs) generate fluent outputs that can be wrong. Unlike humans, who often exhibit cues when providing false information, LLMs produce errors that…
SpCCL: A Sparsity-Aware Collective Communication Library for GPU Platforms
arXiv:2607.04676v2 Announce Type: replace Abstract: Collective communication is essential to high performance computing and machine learning workloads, yet libraries such as NCCL do not exploit sparsity in message payloa…
What You See Is What You Get: Observation-Aligned Supervision for Chart-to-Code Generation
arXiv:2607.04726v4 Announce Type: replace Abstract: Chart-to-code generation is commonly trained through supervised fine-tuning on reference plotting scripts, implicitly treating the gold code as a fully observable targe…
TopoBrick: Agentic Topology Sampling of Exogenous Variables for Zero-Shot Building IoT Forecasting
arXiv:2607.06349v2 Announce Type: replace Abstract: Building sensors are embedded in physical topology, spatial hierarchy, and operational context, yet existing forecasters often treat them as isolated time series or rel…
Progression as Latent Drift: Generative Forecasting of Slow-Evolving Pathologies
arXiv:2607.08270v2 Announce Type: replace Abstract: Forecasting the future anatomy of slow-evolving neurodegenerative diseases could enable earlier, more targeted intervention and improve clinical trial design, but it re…
Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents
arXiv:2607.08448v4 Announce Type: replace Abstract: Language-conditioned manipulation requires both precise contact-rich control and robust reasoning over language, scenes, and long horizons. End-to-end Vision-Language-A…
Coevolution of self-replication and function in a digital primordial soup
arXiv:2607.09211v2 Announce Type: replace Abstract: While traditional evolutionary algorithms hard-code reproduction, self-replication can emerge spontaneously within digital ``primordial soups''. This paper investigates…
Gauge dependence and structured-output corruption in sign-branched repetition penalties: measurements across models, inference stacks, and alternative repetitio…
arXiv:2607.09791v2 Announce Type: replace Abstract: The multiplicative repetition penalty shipped across the LLM inference ecosystem (HuggingFace, vLLM, llama$.$cpp, and a dozen further engines) branches on the sign of e…
LLM Watermarking as Big Data Provenance: A Deployment-Oriented Systematization
arXiv:2607.10103v2 Announce Type: replace Abstract: As large language models (LLMs) become widely deployed, their outputs can be copied, transformed, and redistributed at scale without reliable evidence of origin, creati…