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Cultural Competence

Latest AI and machine learning research in cultural competence for healthcare professionals.

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Showing 1198-1218 of 3,220 articles
TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types

Multimodal visual language models are gaining prominence in open-world applications, driven by adv...

Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing

Deep learning model effectiveness in classification tasks is often challenged by the quality and q...

SB-Bench: Stereotype Bias Benchmark for Large Multimodal Models

Stereotype biases in Large Multimodal Models (LMMs) perpetuate harmful societal prejudices, underm...

Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders

While recent work has found that vision-language models trained under the Contrastive Language Ima...

RusCode: Russian Cultural Code Benchmark for Text-to-Image Generation

Text-to-image generation models have gained popularity among users around the world. However, many...

Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos

With the rapid development of AI-generated content (AIGC), the creation of high-quality AI-generat...

CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers

Customized generation has achieved significant progress in image synthesis, yet personalized video...

TANGLED: Generating 3D Hair Strands from Images with Arbitrary Styles and Viewpoints

Hairstyles are intricate and culturally significant with various geometries, textures, and structu...

The Human Labour of Data Work: Capturing Cultural Diversity through World Wide Dishes

This paper provides guidance for building and maintaining infrastructure for participatory AI effo...

Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment

While diffusion models are powerful in generating high-quality, diverse synthetic data for object-...

Augmented Conditioning Is Enough For Effective Training Image Generation

Image generation abilities of text-to-image diffusion models have significantly advanced, yielding...

TriNER: A Series of Named Entity Recognition Models For Hindi, Bengali & Marathi

India's rich cultural and linguistic diversity poses various challenges in the domain of Natural L...

Single-Domain Generalized Object Detection by Balancing Domain Diversity and Invariance

Single-domain generalization for object detection (S-DGOD) aims to transfer knowledge from a singl...

On Fairness of Unified Multimodal Large Language Model for Image Generation

Unified multimodal large language models (U-MLLMs) have demonstrated impressive performance in vis...

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization

Text-embedding models often exhibit biases arising from the data on which they are trained. In thi...

Fairness in Survival Analysis: A Novel Conditional Mutual Information Augmentation Approach

Survival analysis, a vital tool for predicting the time to event, has been used in many domains su...

Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration

Large Vision-Language Models (LVLMs) exhibit impressive multimodal reasoning capabilities but rema...

Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation

Feature selection is an important but challenging task in causal inference for obtaining unbiased ...

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