Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Taming Modality Entanglement in Continual Audio-Visual Segmentation
arXiv:2510.17234v3 Announce Type: replace Abstract: Recently, significant progress has been made in multi-modal continual learning, aiming to learn new tasks sequentially in multi-modal settings while preserving performa…
M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset
arXiv:2510.23508v4 Announce Type: replace Abstract: Existing real-world datasets for multimodal fact-checking have multiple limitations: they contain few instances, cover only one or two languages, focus on a single task…
Spiking Patches: Asynchronous, Sparse, and Efficient Tokens for Event Cameras
arXiv:2510.26614v2 Announce Type: replace Abstract: We propose tokenization of events and present a tokenizer, Spiking Patches, specifically designed for event cameras. Given a stream of asynchronous and spatially sparse…
Can machines think efficiently?
arXiv:2510.26954v3 Announce Type: replace Abstract: The Turing Test is no longer adequate for distinguishing human and machine intelligence. With advanced artificial intelligence systems already passing the original Turi…
Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+
arXiv:2510.27183v3 Announce Type: replace Abstract: The URIEL+ linguistic knowledge base supports multilingual research by encoding languages through geographic, genetic, and typological vectors. However, data sparsity (…
Multi-Step Knowledge Interaction Analysis via Rank-2 Subspace Disentanglement
arXiv:2511.01706v3 Announce Type: replace Abstract: Natural Language Explanations (NLEs) describe how Large Language Models (LLMs) make decisions by drawing on external Context Knowledge (CK) and Parametric Knowledge (PK…
Apples on the Table? Evaluating Text-Guided 3D Scene Synthesis via Fine-Grained Constraint Verification
arXiv:2511.03001v3 Announce Type: replace Abstract: Accurately synthesizing 3D scenes from user-provided text descriptions is crucial for developing embodied agents. Despite the importance of scene-description alignment,…
KGFR: A Foundation Retriever for Generalized Knowledge Graph Question Answering
arXiv:2511.04093v2 Announce Type: replace Abstract: Large language models (LLMs) excel at reasoning but struggle with knowledge-intensive questions due to limited context and parametric knowledge. However, existing metho…
SurgiATM: A Physics-Guided Plug-and-Play Model for Deep Learning-Based Smoke Removal in Laparoscopic Surgery
arXiv:2511.05059v3 Announce Type: replace Abstract: During laparoscopic surgery, smoke generated by tissue cauterization can significantly degrade the visual quality of endoscopic frames, increasing the risk of surgical …
Individualized Algorithmic Advice as a Strategic Signal on Competitive Markets
arXiv:2511.09454v2 Announce Type: replace Abstract: As algorithms increasingly mediate competitive decision-making, their influence extends beyond individual outcomes to shaping strategic market dynamics. In our experime…
SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning
arXiv:2511.09681v3 Announce Type: replace Abstract: Visual reinforcement learning has achieved remarkable progress in visual control and robotics, but its vulnerability to adversarial perturbations remains underexplored.…
Multi-Agent LLM Orchestration Achieves Deterministic, High-Quality Decision Support for Incident Response
arXiv:2511.15755v3 Announce Type: replace Abstract: Large language models (LLMs) promise to accelerate incident response in production systems, yet single-agent approaches generate vague, unusable recommendations. We pre…
A Machine Learning-Driven Solution for Denoising Inertial Confinement Fusion Images
arXiv:2511.16717v3 Announce Type: replace Abstract: Neutron imaging is essential for diagnosing and optimizing inertial confinement fusion implosions at the National Ignition Facility. Due to the required 10-micrometer r…
MobileOcc: A Human-Aware Semantic Occupancy Dataset for Mobile Robots
arXiv:2511.16949v2 Announce Type: replace Abstract: Dense 3D semantic occupancy perception is critical for mobile robots operating in pedestrian-rich environments, yet it remains underexplored compared to its application…
Hybrid Event Frame Sensors: Modeling, Calibration, and Simulation
arXiv:2511.18037v3 Announce Type: replace Abstract: Hybrid event-frame sensors integrate an Event Vision Sensor (EVS) and an Active Pixel Sensor (APS) within a single chip, combining the high dynamic range and low latenc…
DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models
arXiv:2511.21415v2 Announce Type: replace Abstract: We introduce DiverseVAR, a framework that enhances the diversity of text-conditioned visual autoregressive models (VAR) at test time without requiring retraining, fine-…
Iterative GRPO: Batch-Online Policy Iteration for Multi-Turn RL via Single-Turn RLHF
arXiv:2511.21638v2 Announce Type: replace Abstract: Practical LLM agents often operate over multi-turn conversations where success is determined only after the full interaction ends. Most multi-turn RL methods train via …
3D-Consistent Multi-View Editing by Correspondence Guidance
arXiv:2511.22228v3 Announce Type: replace Abstract: Recent advancements in diffusion and flow models have greatly improved text-based image editing, yet methods that edit images independently often produce geometrically …
Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design
arXiv:2511.23120v3 Announce Type: replace Abstract: Pretrained transformers provide rich, general-purpose embeddings, which are transferred to downstream tasks. However, current transfer strategies: fine-tuning and probi…
Training-Free Policy Violation Detection via Activation-Space Whitening in LLMs
arXiv:2512.03994v4 Announce Type: replace Abstract: As organizations increasingly deploy LLMs in sensitive domains such as legal, financial, and medical settings, ensuring alignment with internal organizational policies …