Cultural Competence

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

3,220 articles

A Plug-and-Play Learning-based IMU Bias Factor for Robust Visual-Inertial Odometry

The bias of low-cost Inertial Measurement Units (IMU) is a critical factor affecting the performan...

Mar 2025 http://arxiv.org/abs/2503.12527v1

LLaVA-MLB: Mitigating and Leveraging Attention Bias for Training-Free Video LLMs

Training-free video large language models (LLMs) leverage pretrained Image LLMs to process video c...

Mar 2025 http://arxiv.org/abs/2503.11205v1

Variational Bayesian Personalized Ranking

Recommendation systems have found extensive applications across diverse domains. However, the trai...

Mar 2025 http://arxiv.org/abs/2503.11067v1

Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild

Neural architectures tend to fit their data with relatively simple functions. This "simplicity bia...

Mar 2025 http://arxiv.org/abs/2503.10065v1

Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework

Data-driven AI is establishing itself at the center of evidence-based medicine. However, reports o...

Mar 2025 http://arxiv.org/abs/2503.09969v1

BiasConnect: Investigating Bias Interactions in Text-to-Image Models

The biases exhibited by Text-to-Image (TTI) models are often treated as if they are independent, b...

Mar 2025 http://arxiv.org/abs/2503.09763v1

Review GIDE -- Restaurant Review Gastrointestinal Illness Detection and Extraction with Large Language Models

Foodborne gastrointestinal (GI) illness is a common cause of ill health in the UK. However, many c...

Mar 2025 http://arxiv.org/abs/2503.09743v1

ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation

Transformers, particularly Vision Transformers (ViTs), have achieved state-of-the-art performance ...

Mar 2025 http://arxiv.org/abs/2503.09399v1

Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information

To improve trust and transparency, it is crucial to be able to interpret the decisions of Deep Neu...

Mar 2025 http://arxiv.org/abs/2503.09068v1

Is Limited Participant Diversity Impeding EEG-based Machine Learning?

The application of machine learning (ML) to electroencephalography (EEG) has great potential to ad...

Mar 2025 http://arxiv.org/abs/2503.13497v1

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents

Previous studies have found that PLM-based retrieval models exhibit a preference for LLM-generated...

Mar 2025 http://arxiv.org/abs/2503.08684v1

Convergence Dynamics and Stabilization Strategies of Co-Evolving Generative Models

The increasing prevalence of synthetic data in training loops has raised concerns about model coll...

Mar 2025 http://arxiv.org/abs/2503.08117v1

Exploring Bias in over 100 Text-to-Image Generative Models

We investigate bias trends in text-to-image generative models over time, focusing on the increasin...

Mar 2025 http://arxiv.org/abs/2503.08012v1

Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia

Southeast Asia (SEA) is a region of extraordinary linguistic and cultural diversity, yet it remain...

Mar 2025 http://arxiv.org/abs/2503.07920v2

Measuring directional bias amplification in image captions using predictability

When we train models on biased ML datasets, they not only learn these biases but can inflate them ...

Mar 2025 http://arxiv.org/abs/2503.07878v2

Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model

Rapid advancement of diffusion models has catalyzed remarkable progress in the field of image gene...

Mar 2025 http://arxiv.org/abs/2503.07703v1

VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models

This research investigates both explicit and implicit social biases exhibited by Vision-Language M...

Mar 2025 http://arxiv.org/abs/2503.07575v2

Process-Supervised LLM Recommenders via Flow-guided Tuning

While large language models (LLMs) are increasingly adapted for recommendation systems via supervi...

Mar 2025 http://arxiv.org/abs/2503.07377v3

AnomalyPainter: Vision-Language-Diffusion Synergy for Zero-Shot Realistic and Diverse Industrial Anomaly Synthesis

While existing anomaly synthesis methods have made remarkable progress, achieving both realism and...

Mar 2025 http://arxiv.org/abs/2503.07253v2

CLICv2: Image Complexity Representation via Content Invariance Contrastive Learning

Unsupervised image complexity representation often suffers from bias in positive sample selection ...

Mar 2025 http://arxiv.org/abs/2503.06641v1

Fine-Grained Bias Detection in LLM: Enhancing detection mechanisms for nuanced biases

Recent advancements in Artificial Intelligence, particularly in Large Language Models (LLMs), have...

Mar 2025 http://arxiv.org/abs/2503.06054v1

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