--- title: "Who cites Is ChatGPT a Highly Fluent — 87 citing papers" description: "87 papers of the Elamur Research library cite «Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive…" canonical: "https://research.elamur.ai/free/en/papers/fang-2023-chatgpt-highly-fluent-grammatical-error/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/fang-2023-chatgpt-highly-fluent-grammatical-error/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Is ChatGPT a Highly Fluent Grammatical Error…](https://md.research.elamur.ai/free/en/papers/fang-2023-chatgpt-highly-fluent-grammatical-error/) / cited by # Who cites «Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation» 87 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · [← back to «Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation»](https://md.research.elamur.ai/free/en/papers/fang-2023-chatgpt-highly-fluent-grammatical-error/) 1. **[The Rise and Potential of Large Language Model Based Agents: A Survey](https://md.research.elamur.ai/free/en/papers/xi-2023-rise-potential-large-language/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Zhiheng Xi, Wenxiang Chen, Xin Guo, et al.*2023 · 1,272 citations* 2. **[ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning](https://md.research.elamur.ai/free/en/papers/lai-2023-chatgpt-beyond-english-comprehensive-evaluation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Viet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.*2023 · 422 citations* 3. [**Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment arXiv:2308.05374**Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li*2023 · 223 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-trustworthy-llms-survey-guideline-evaluating/) 4. **[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* 5. [**Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction arXiv:2303.14342**Steven Coyne, Keisuke Sakaguchi, Diana Galvan-Sosa, et al.*2023 · 81 citations*](https://md.research.elamur.ai/free/en/papers/coyne-2023-analyzing-performance-gpt-3-5/) 6. **[Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation](https://md.research.elamur.ai/free/en/papers/alhafni-2023-advancements-arabic-grammatical-error-detection/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bashar Alhafni, Go Inoue, Christian Khairallah, et al.*2023 · 38 citations* 7. [**MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning arXiv:2402.11260**Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-moral-moe-augmented-lora-llms/) 8. **[Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore](https://md.research.elamur.ai/free/en/papers/wu-2025-who-wrote-this-key-zero/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Junchao Wu, Runzhe Zhan, Derek F. Wong, et al.*2025 · 17 citations* 9. [**Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task arXiv:2307.03972**Fanyi Qu, Chenming Tang, Yunfang Wu*2023 · 15 citations*](https://md.research.elamur.ai/free/en/papers/qu-2023-evaluating-capability-large-scale-language/) 10. **[Position: LLMs Can be Good Tutors in English Education](https://md.research.elamur.ai/free/en/papers/ye-2025-position-llms-can-be-good/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jingheng Ye, Shen Wang, Deqing Zou, et al.*2025 · 9 citations* 11. **[Tibyan Corpus: Balanced and Comprehensive Error Coverage Corpus Using ChatGPT for Arabic Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/alrehili-2024-tibyan-corpus-balanced-comprehensive-error/) [PeerJ Computer Science](https://md.research.elamur.ai/free/en/venues/peerj-computer-science/)**Ahlam Alrehili, Areej Alhothali*2024 · 9 citations* 12. [**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/) 13. **[Tracing L1 Interference in English Learner Writing: A Longitudinal Corpus with Error Annotations](https://md.research.elamur.ai/free/en/papers/acharya-2025-tracing-l1-interference-english-learner/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Poorvi Acharya, J. Elizabeth Liebl, Dhiman Goswami, et al.*2025 · 1 citation* 14. **[Beyond Error Categories: A Contextual Approach of Evaluating Emerging Spell and Grammar Checkers](https://md.research.elamur.ai/free/en/papers/arnardottir-2024-beyond-error-categories-contextual-approach/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Þórunn Arnardóttir, Svanhvít Lilja Ingólfsdóttir, Haukur Barri Símonarson, et al.*2024 · 1 citation* 15. **[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* 16. **[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* 17. [**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/) 18. **[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* 69 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/fang-2023-chatgpt-highly-fluent-grammatical-error/) — Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation