6 papers
Chinese Grammatical Error Correction: A Survey
Mengyang Qiu, Qingyu Gao, Linxuan Yang +4
Chinese Grammatical Error Correction (CGEC) is a critical task in Natural Language Processing, addressing the growing demand for automated writing assistance in both second-languag…
Refining Word-Based Grammatical Error Annotation for L2 Korean
Jungyeul Park, Kyungtae Lim, Wonjun Oh +4
Korean grammatical error correction (K-GEC) presents a structural mismatch between word-based evaluation and the morpheme-level locus of many learner errors. Postpositions and verb…
Bias in Large Language Models: Origin, Evaluation, and Mitigation
Yufei Guo, Muzhe Guo, Juntao Su +5
Large Language Models (LLMs) have revolutionized natural language processing, but their susceptibility to biases poses significant challenges. This comprehensive review examines th…
Can LLMs Simulate Human Behavioral Variability? A Case Study in the Phonemic Fluency Task
Mengyang Qiu, Zoe Brisebois, Siena Sun
Large language models (LLMs) are increasingly explored as substitutes for human participants in cognitive tasks, but their ability to simulate human behavioral variability remains…
A Formal Framework for Fluency-based Multi-Reference Evaluation in Grammatical Error Correction
Eitan Klinger, Zihao Huang, Tran Minh Nguyen +7
Evaluating grammatical error correction requires metrics that reflect the diversity of valid human corrections rather than privileging a single reference. Existing frameworks, larg…
Multilingual Grammatical Error Annotation: Combining Language-Agnostic Framework with Language-Specific Flexibility
Mengyang Qiu, Tran Minh Nguyen, Zihao Huang +5
Grammatical Error Correction (GEC) relies on accurate error annotation and evaluation, yet existing frameworks, such as , face limitations when extended to typolog…