Latest AI and machine learning research in cultural competence for healthcare professionals.
Electronic Health Record (EHR) data encompass diverse modalities -- text, images, and medical code...
This paper explores the growing presence of emotionally responsive artificial intelligence through...
Identifying and measuring biases associated with sensitive attributes is a crucial consideration i...
Multi-session persona-based dialogue generation presents challenges in maintaining long-term consi...
During prediction tasks, models can use any signal they receive to come up with the final answer -...
Fairness is a critical component of Trustworthy AI. In this paper, we focus on Machine Learning (M...
In multimodal large language models (MLLMs), the length of input visual tokens is often significan...
Reduced social connectedness increasingly poses a threat to mental health, life expectancy, and ge...
Modern language models are trained on large amounts of data. These data inevitably include controv...
We consider the problem of generalizable novel view synthesis (NVS), which aims to generate photor...
The rapid adoption of generative AI models in domains such as education, policing, and social medi...
Metaphors are pervasive in communication, making them crucial for natural language processing (NLP...
Surveillance systems play a critical role in security and reconnaissance, but their performance is...
To build fair AI systems we need to understand how social-group biases intrinsic to foundational e...
Fine-tuning Stable Diffusion enables subject-driven image synthesis by adapting the model to gener...
Diagnosing deep neural networks (DNNs) through the eigenspectrum of weight matrices has been an ac...
Recent advances in text-to-image (T2I) models have achieved impressive quality and consistency. Ho...
Mutual exclusivity (ME) is a strategy where a novel word is associated with a novel object rather ...
Large language models (LLMs) are known to be sensitive to input phrasing, but the mechanisms by wh...
With the rapid advancement of diffusion models, text-to-image generation has achieved significant ...
Current large language model (LLM) agents lack authentic human psychological processes necessary f...