---
title: "Who cites Analyzing the Performance of — 56 citing papers"
description: "56 papers of the Elamur Research library cite «Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction», found in their…"
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---
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# 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»](https://md.research.elamur.ai/free/en/papers/coyne-2023-analyzing-performance-gpt-3-5/)

1. **[Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks](https://md.research.elamur.ai/free/en/papers/sottana-2023-evaluation-metrics-era-gpt-4/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 technology arXiv:2307.08393**Andrew Caines, Luca Benedetto, Shiva Taslimipoor, et al.*2023 · 51 citations*](https://md.research.elamur.ai/free/en/papers/caines-2023-application-large-language-models-language/)
3. **[EDEN: Empathetic Dialogues for English Learning](https://md.research.elamur.ai/free/en/papers/siyan-2024-eden-empathetic-dialogues-english-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Li Siyan, Teresa Shao, Zhou Yu, et al.*2024 · 7 citations*
4. [**Targeted Syntactic Evaluation for Grammatical Error Correction**Aomi Koyama, Masato Mita, Su-Youn Yoon, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/koyama-2025-targeted-syntactic-evaluation-grammatical-error/)
5. **[Opportunities and Challenges of LLMs in Education: An NLP Perspective](https://md.research.elamur.ai/free/en/papers/vajjala-2026-opportunities-challenges-llms-education-nlp/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.*2026*
6. **[Russian Generative Spelling, Punctuation and Capitalization Correction](https://md.research.elamur.ai/free/en/papers/martynov-2026-russian-generative-spelling-punctuation-capitalization/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/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 Study arXiv:2608.28614**Wenjie Lou, Alaa Mamdouh Akef*2026*](https://md.research.elamur.ai/free/en/papers/lou-2026-stageet-stage-wise-typed-edit/)
8. **[When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/coyne-2023-analyzing-performance-gpt-3-5/) — Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction