311 citations · 467 across the 17 of their papers we have counts for
19 papers
Multi-view biomedical foundation models for molecule-target and property prediction
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi +15
Quality molecular representations are key to foundation model development in bio-medical research. Previous efforts have typically focused on a single representation or molecular v…
Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration
Bum Chul Kwon, Samuel Friedman, Kai Xu +5
Machine learning models built on training data with multiple modalities can reveal new insights that are not accessible through unimodal datasets. For example, cardiac magnetic res…
People's Perceptions Toward Bias and Related Concepts in Large Language Models: A Systematic Review
Lu Wang, Max Song, Rezvaneh Rezapour +2
Large language models (LLMs) have brought breakthroughs in tasks including translation, summarization, information retrieval, and language generation, gaining growing interest in t…
Towards Visualization Thumbnail Designs that Entice Reading Data-driven Articles
Hwiyeon Kim, Joohee Kim, Yunha Han +6
As online news increasingly include data journalism, there is a corresponding increase in the incorporation of visualization in article thumbnail images. However, little research e…
Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models
Bum Chul Kwon, Nandana Mihindukulasooriya
Pre-trained transformer-based language models are becoming increasingly popular due to their exceptional performance on various benchmarks. However, concerns persist regarding the…
PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models
Aditi Mishra, Utkarsh Soni, Anjana Arunkumar +3
Large Language Models (LLMs) have gained widespread popularity due to their ability to perform ad-hoc Natural Language Processing (NLP) tasks with a simple natural language prompt.…