116 citations · 179 across the 5 of their papers we have counts for
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cs.HC2024
Incremental XAI: Memorable Understanding of AI with Incremental Explanations
Jessica Y. Bo, Pan Hao, Brian Y. Lim
Many explainable AI (XAI) techniques strive for interpretability by providing concise salient information, such as sparse linear factors. However, users either only see inaccurate…
cs.HC2023★ 116 cited
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions
Yunlong Wang, Shuyuan Shen, Brian Y. Lim
Generative AI models have shown impressive ability to produce images with text prompts, which could benefit creativity in visual art creation and self-expression. However, it is un…
cs.HC2021★ 63 cited
Towards Relatable Explainable AI with the Perceptual Process
Wencan Zhang, Brian Y. Lim
Machine learning models need to provide contrastive explanations, since people often seek to understand why a puzzling prediction occurred instead of some expected outcome. Current…