2 citations · 2 across the 5 of their papers we have counts for
5 papers
Adaptive Data Augmentation with Multi-armed Bandit: Sample-Efficient Embedding Calibration for Implicit Pattern Recognition
Minxue Tang, Yangyang Yu, Aolin Ding +3
Recognizing implicit visual and textual patterns is essential in many real-world applications of modern AI. However, tackling long-tail pattern recognition tasks remains challengin…
A vibe coding learning design to enhance EFL students' talking to, through, and about AI
David James Woo, Kai Guo, Yangyang Yu
This innovative practice article reports on the piloting of vibe coding (using natural language to create software applications with AI) for English as a Foreign Language (EFL) edu…
Product vs. Process: Exploring EFL Students' Editing of AI-Generated Text for Expository Writing
David James Woo, Yangyang Yu, Kai Guo +2
Text generated by artificial intelligence (AI) chatbots is increasingly used in English as a foreign language (EFL) writing contexts, yet its impact on students' expository writing…
Exploring EFL Secondary Students' AI-generated Text Editing While Composition Writing
David James Woo, Yangyang Yu, Kai Guo
Generative Artificial Intelligence is transforming how English as a foreign language students write. Still, little is known about how students manipulate text generated by generati…
VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AI
Sijie Cheng, Kechen Fang, Yangyang Yu +6
Recent advancements in Multi-modal Large Language Models (MLLMs) have opened new avenues for applications in Embodied AI. Building on previous work, EgoThink, we introduce VidEgoTh…