🔗 Who cites «Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction»

56 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction»

1. Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Andrea Sottana, Bin Liang, Kai Zou, et al.2023 · 89 citations
2. On the application of Large Language Models for language teaching and assessment technologyarXiv:2307.08393Andrew Caines, Luca Benedetto, Shiva Taslimipoor, et al.2023 · 51 citations
3. EDEN: Empathetic Dialogues for English LearningFindings of the Association for Computational LinguisticsLi Siyan, Teresa Shao, Zhou Yu, et al.2024 · 7 citations
4. Targeted Syntactic Evaluation for Grammatical Error CorrectionAomi Koyama, Masato Mita, Su-Youn Yoon, et al.2025 · 3 citations
5. Opportunities and Challenges of LLMs in Education: An NLP PerspectiveWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.2026
6. Russian Generative Spelling, Punctuation and Capitalization CorrectionLanguage Resources and Evaluation Conference (LREC)Nikita Martynov, Danil Astafurov, Ulyana Isaeva, et al.2026
7. STAGEET: Stage-wise Typed Edit Tagging for Grammatical Error Correction with Arabic as a Case StudyarXiv:2608.28614Wenjie Lou, Alaa Mamdouh Akef2026
8. When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated ContentAnnual Conference of the European Association for Machine Translation (EAMT)Lydia Nishimwe, Benoît Sagot, Rachel Bawden2026

48 more papers of our library cite it; they have no page here yet.

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