41 citations · 115 across the 12 of their papers we have counts for
6 papers · 1 filter
Why Retrieval-Augmented Generation Fails: A Graph Perspective
Kai Guo, Xinnan Dai, Zhibo Zhang +5
Retrieval-Augmented Generation (RAG) has become a powerful and widely used approach for improving large language models by grounding generation in retrieved evidence. However, RAG…
Exploring how EFL students talk to and through AI to develop texts
David James Woo, Yangyang Yu, Yilin Huang +3
Generative Artificial Intelligence (AI) introduces new considerations for English as a foreign language (EFL) writing pedagogy. This study explores how students talk to and through…
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…
Approaching the Limits to EFL Writing Enhancement with AI-generated Text and Diverse Learners
David James Woo, Hengky Susanto, Chi Ho Yeung +1
Generative artificial intelligence (AI) chatbots, such as ChatGPT, are reshaping how English as a foreign language (EFL) students write since students can compose texts by integrat…
The Role of AI in Human-AI Creative Writing for Hong Kong Secondary Students
Hengky Susanto, David James Woo, Kai Guo
The recent advancement in Natural Language Processing (NLP) capability has led to the development of language models (e.g., ChatGPT) that is capable of generating human-like langua…
Exploring AI-Generated Text in Student Writing: How Does AI Help?
David James Woo, Hengky Susanto, Chi Ho Yeung +2
English as foreign language_EFL_students' use of text generated from artificial intelligence_AI_natural language generation_NLG_tools may improve their writing quality. However, it…