27 citations · 28 across the 3 of their papers we have counts for
3 papers
How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL Essay Drafts
Steven Coyne, Diana Galvan-Sosa, Ryan Spring +4
This study examines feedback in English as a Foreign Language (EFL) writing contexts, focusing on written corrective feedback (WCF). Large language models (LLMs) can provide WCF at…
Annotating Errors in English Learners' Written Language Production: Advancing Automated Written Feedback Systems
Steven Coyne, Diana Galvan-Sosa, Ryan Spring +4
Recent advances in natural language processing (NLP) have contributed to the development of automated writing evaluation (AWE) systems that can correct grammatical errors. However,…
Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction
Steven Coyne, Keisuke Sakaguchi, Diana Galvan-Sosa +2
GPT-3 and GPT-4 models are powerful, achieving high performance on a variety of Natural Language Processing tasks. However, there is a relative lack of detailed published analysis…