Health
1301 storiesPublic health and medicine worldwide — sourced from WHO News.
Formula size game and model checking for modal substitution calculus
arXiv:2505.07966v3 Announce Type: replace Abstract: Recent research has applied modal substitution calculus (MSC) and its variants to characterize various computational frameworks such as graph neural networks (GNNs) and…
Understanding and Mitigating Under-Confidence in GNNs from the Final Layer
arXiv:2505.11335v5 Announce Type: replace Abstract: Graph Neural Networks (GNNs) have demonstrated remarkable effectiveness on graph-based tasks. However, their predictive confidence is often miscalibrated, typically exh…
Human-centered evaluation of data visualization understanding in vision-language models
arXiv:2505.17202v2 Announce Type: replace Abstract: Data visualization understanding, which requires integrating visual, numerical, and linguistic inputs, poses fundamental challenges to multimodal reasoning. Recently de…
Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors
arXiv:2505.23323v3 Announce Type: replace Abstract: This position paper argues that many behaviours framed as either "stochastic parroting" or "advanced reasoning" are better explained as context-directed extrapolation f…
Effects of Theory of Mind and Prosocial Beliefs on Steering Human-Aligned Behaviors of LLMs in Ultimatum Games
arXiv:2505.24255v3 Announce Type: replace Abstract: Large Language Models (LLMs) have shown potential in simulating human behaviors and performing theory-of-mind (ToM) reasoning, crucial for complex social interactions. …
AutoExpert: Automating 3D LiDAR Annotation from Expert-Crafted Guidelines
arXiv:2506.02914v4 Announce Type: replace Abstract: The contemporary paradigm of scaling data annotation, crucial for developing machine learning solutions, is to hire ordinary human annotators and instruct them with exp…
Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models
arXiv:2506.07121v3 Announce Type: replace Abstract: Ensuring the safety and robustness of large language models (LLMs) is a fundamental challenge and a critical prerequisite for the responsible deployment of artificial i…
In-Context Bias Propagation in LLM-Based Tabular Data Generation
arXiv:2506.09630v3 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly used for synthetic tabular data generation through in-context learning (ICL), offering a practical solution for data augme…
Random Batch Methods for Discretized PDEs on Graphs
arXiv:2506.11809v2 Announce Type: replace Abstract: Diffusion and transport processes on networks arise in applications such as pipeline systems, traffic and information flow, and energy and thermal networks. In these se…
Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences
arXiv:2506.12045v3 Announce Type: replace Abstract: Much of the physical world is inaccessible to direct measurement and can be reached only through the sparse traces it leaves in other observable variables. Here we intr…
Energy-Based Transfer for Reinforcement Learning
arXiv:2506.16590v2 Announce Type: replace Abstract: Reinforcement learning remains sample inefficient, particularly when agents must adapt over time to related but distinct tasks, as in continual learning settings. Effic…
Stochastic Neural Control Barrier Functions
arXiv:2506.21697v2 Announce Type: replace Abstract: Control Barrier Functions (CBFs) are utilized to ensure the safety of control systems. CBFs act as safety filters in order to provide safety guarantees without compromi…
A Comprehensive Evaluation on Quantization Techniques for Large Language Models
arXiv:2507.17417v4 Announce Type: replace Abstract: For large language models (LLMs), post-training quantization (PTQ) significantly reduces memory and computational overhead. Despite rapid advancements, existing papers …
Knowledge-Certainty Diversity Predicts Human-Human and Human-AI Open-Ended Discussion Synergy and Reveals Pure-AI Discussion Shortfalls
arXiv:2507.22889v3 Announce Type: replace Abstract: Conversations transform individual knowledge into collective insight, enabling collaborators to solve problems more accurately than they could alone. Whether dialogues …
PRiME: Pragmatic Reasoning In MEntal health
arXiv:2507.23247v3 Announce Type: replace Abstract: In this work, the task and domain interaction of reasoning and mental health are investigated. As large language models (LLMs) present exceptional text understanding an…
VRPRM: Process Reward Modeling via Visual Reasoning
arXiv:2508.03556v5 Announce Type: replace Abstract: Process Reward Models (PRMs) provide fine-grained supervision over intermediate reasoning steps, yet most existing models lack long-range reasoning and deep thinking ca…
AgriVLN: Vision-and-Language Navigation for Agricultural Robots
arXiv:2508.07406v2 Announce Type: replace Abstract: Agricultural robots are serving as powerful members across a wide range of tasks, nevertheless, they are still heavily relying on manual operations or railway systems f…
UniPrompt-CL: Efficient Single-Inference Continual Learning for Medical Image Classification
arXiv:2508.10954v3 Announce Type: replace Abstract: Medical AI systems must remain reliable as data distributions shift across hospitals, imaging devices, and patient populations, yet privacy constraints often prevent st…
From Value Conditioning to Behavioral Shift: Lightweight Value Alignment of LLMs
arXiv:2508.11414v2 Announce Type: replace Abstract: Large language models exhibit value-related preferences in their outputs, yet steering such behavior often requires large training datasets or paired preference annotat…
Stack Trace-Based Crash Deduplication with Transformer Adaptation
arXiv:2508.19449v3 Announce Type: replace Abstract: Automated crash reporting systems generate large volumes of duplicate reports, overwhelming issue-tracking systems and increasing developer workload. Traditional stack …