16 citations · 21 across the 5 of their papers we have counts for
5 papers
Enhanced Bloom's Educational Taxonomy for Fostering Information Literacy in the Era of Large Language Models
Yiming Luo, Ting Liu, Patrick Cheong-Iao Pang +4
The advent of Large Language Models (LLMs) has profoundly transformed the paradigms of information retrieval and problem-solving, enabling students to access information acquisitio…
Enhancing Exploratory Learning through Exploratory Search with the Emergence of Large Language Models
Yiming Luo, Patrick Cheong-Iao Pang, Shanton Chang
In the information era, how learners find, evaluate, and effectively use information has become a challenging issue, especially with the added complexity of large language models (…
IvyGPT: InteractiVe Chinese pathwaY language model in medical domain
Rongsheng Wang, Yaofei Duan, ChanTong Lam +6
General large language models (LLMs) such as ChatGPT have shown remarkable success. However, such LLMs have not been widely adopted for medical purposes, due to poor accuracy and i…
Multi-source Transfer Learning with Ensemble for Financial Time Series Forecasting
Qi-Qiao He, Patrick Cheong-Iao Pang, Yain-Whar Si
Although transfer learning is proven to be effective in computer vision and natural language processing applications, it is rarely investigated in forecasting financial time series…
An Experimental Comparison of Map-like Visualisations and Treemaps
Patrick Cheong-Iao Pang, Robert P. Biuk-Aghai, Simon Fong +1
Treemaps have been used in information visualisation for over two decades. They make use of nested filled areas to represent information hierarchies such as file systems, library c…