1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
Hoin Jung, Taeuk Jang, Xiaoqian Wang
Recent advancements in Vision-Language Models (VLMs) have enabled complex multimodal tasks by processing text and image data simultaneously, significantly enhancing the field of ar…
cs.CL2024★ 1 cited
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
Xiaoze Liu, Feijie Wu, Tianyang Xu +4
The advent of Large Language Models (LLMs) has significantly transformed the AI landscape, enhancing machine learning and AI capabilities. Factuality issue is a critical concern fo…
cs.CY2023
Towards Trustworthy Artificial Intelligence for Equitable Global Health
Hong Qin, Jude Kong, Wandi Ding +14
Artificial intelligence (AI) can potentially transform global health, but algorithmic bias can exacerbate social inequities and disparity. Trustworthy AI entails the intentional de…