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20242026
most citedAssessing the Efficacy of Grammar Error Correction: A Human Evaluation Approach in the Japanese Context

2 citations · 3 across the 5 of their papers we have counts for

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5 papers

cs.AI2026

WrAFT: a Modularized Automated Writing Evaluation System for Argumentative Essays

Adnan Labib, Yixuan Huang, Jiahui Wu +3

This study presents WrAFT, a Writing Assessment and Feedback Tool, that delivers both accurate and reliable scores and effective comprehensive feedback to argumentative essays. WrA…

cs.CL2026

Multi-Dimensional Evaluation of LLMs for Grammatical Error Correction

Adnan Labib, Qiao Wang, Yixuan Huang +1

Automated assistants for Grammatical Error Correction are now embedded in educational platforms serving millions of learners, yet three critical gaps remain in this domain: (1) lat…

cs.CL20251 cited

GenQuest: An LLM-based Text Adventure Game for Language Learners

Qiao Wang, Adnan Labib, Robert Swier +2

GenQuest is a generative text adventure game that leverages Large Language Models (LLMs) to facilitate second language learning through immersive, interactive storytelling. The sys…

cs.CL2025

Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment

Ahmed Karim, Qiao Wang, Zheng Yuan

Automated Essay Scoring (AES) systems now reach near human agreement on some public benchmarks, yet real-world adoption, especially in high-stakes examinations, remains limited. A…

cs.CL20242 cited

Assessing the Efficacy of Grammar Error Correction: A Human Evaluation Approach in the Japanese Context

Qiao Wang, Zheng Yuan

In this study, we evaluated the performance of the state-of-the-art sequence tagging grammar error detection and correction model (SeqTagger) using Japanese university students' wr…