26 citations · 33 across the 5 of their papers we have counts for
5 papers
AI-assisted Gaze Detection for Proctoring Online Exams
Yong-Siang Shih, Zach Zhao, Chenhao Niu +3
For high-stakes online exams, it is important to detect potential rule violations to ensure the security of the test. In this study, we investigate the task of detecting whether te…
Human-in-the-Loop AI for Cheating Ring Detection
Yong-Siang Shih, Manqian Liao, Ruidong Liu +1
Online exams have become popular in recent years due to their accessibility. However, some concerns have been raised about the security of the online exams, particularly in the con…
Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image Diffusion
Jie S. Li, Yow-Ting Shiue, Yong-Siang Shih +1
This paper describes our zero-shot approaches for the Visual Word Sense Disambiguation (VWSD) Task in English. Our preliminary study shows that the simple approach of matching cand…
XL-Editor: Post-editing Sentences with XLNet
Yong-Siang Shih, Wei-Cheng Chang, Yiming Yang
While neural sequence generation models achieve initial success for many NLP applications, the canonical decoding procedure with left-to-right generation order (i.e., autoregressiv…
Compatibility Family Learning for Item Recommendation and Generation
Yong-Siang Shih, Kai-Yueh Chang, Hsuan-Tien Lin +1
Compatibility between items, such as clothes and shoes, is a major factor among customer's purchasing decisions. However, learning "compatibility" is challenging due to (1) broader…