Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Showing 1681-1701 of 3,210 articles
PsyDraw: A Multi-Agent Multimodal System for Mental Health Screening in Left-Behind Children

Left-behind children (LBCs), numbering over 66 million in China, face severe mental health challen...

Towards Effective Graph Rationalization via Boosting Environment Diversity

Graph Neural Networks (GNNs) perform effectively when training and testing graphs are drawn from t...

RareAgents: Advancing Rare Disease Care through LLM-Empowered Multi-disciplinary Team

Rare diseases, despite their low individual incidence, collectively impact around 300 million peop...

Diversity in Software Engineering Education: Exploring Motivations, Influences, and Role Models Among Undergraduate Students

Software engineering (SE) faces significant diversity challenges in both academia and industry, wi...

Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation

Domain Generalized Semantic Segmentation (DGSS) seeks to utilize source domain data exclusively to...

Personalized LLM for Generating Customized Responses to the Same Query from Different Users

Existing work on large language model (LLM) personalization assigned different responding roles to...

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The dark side of the forces: assessing non-conservative force models for atomistic machine learning

The use of machine learning to estimate the energy of a group of atoms, and the forces that drive ...

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Relation-Guided Adversarial Learning for Data-free Knowledge Transfer

Data-free knowledge distillation transfers knowledge by recovering training data from a pre-traine...

GaussianProperty: Integrating Physical Properties to 3D Gaussians with LMMs

Estimating physical properties for visual data is a crucial task in computer vision, graphics, and...

Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework

This paper explores the application of large language models (LLMs) in nursing and elderly care, f...

Learning Camera Movement Control from Real-World Drone Videos

This study seeks to automate camera movement control for filming existing subjects into attractive...

Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine

In recent years, Multimodal Large Language Models (MLLM) have achieved notable advancements, demon...

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets

While one commonly trains large diffusion models by collecting datasets on target downstream tasks...

Diverse Score Distillation

Score distillation of 2D diffusion models has proven to be a powerful mechanism to guide 3D optimi...

StarWhisper Telescope: Agent-Based Observation Assistant System to Approach AI Astrophysicist

With the rapid advancements in Large Language Models (LLMs), LLM-based agents have introduced conv...

SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot

Surgical interventions, particularly in neurology, represent complex and high-stakes scenarios tha...

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LinVT: Empower Your Image-level Large Language Model to Understand Videos

Large Language Models (LLMs) have been widely used in various tasks, motivating us to develop an L...

Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes

The increasing shortage of nursing staff and the acute risk of falls in nursing homes pose signifi...

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MERCI: Multimodal Emotional and peRsonal Conversational Interactions Dataset

The integration of conversational agents into our daily lives has become increasingly common, yet ...

MozzaVID: Mozzarella Volumetric Image Dataset

Influenced by the complexity of volumetric imaging, there is a shortage of established datasets us...

SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model

The rapid advancement of generative models in creating highly realistic images poses substantial r...

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