---
title: "Who cites Seq2Edits: Sequence — 68 citing papers"
description: "68 papers of the Elamur Research library cite «Seq2Edits: Sequence Transduction Using Span-level Edit Operations», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/stahlberg-2020-seq2edits-sequence-transduction-using-span/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Seq2Edits: Sequence Transduction Using Span-level…](https://md.research.elamur.ai/free/en/papers/stahlberg-2020-seq2edits-sequence-transduction-using-span/) / cited by

# Who cites «Seq2Edits: Sequence Transduction Using Span-level Edit Operations»

68 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 «Seq2Edits: Sequence Transduction Using Span-level Edit Operations»](https://md.research.elamur.ai/free/en/papers/stahlberg-2020-seq2edits-sequence-transduction-using-span/)

1. **[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*
2. **[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*
3. **[A unified front-end framework for English text-to-speech synthesis](https://md.research.elamur.ai/free/en/papers/ying-2023-unified-front-end-framework-english/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Zelin Ying, Chen Li, Yu Dong, et al.*2023 · 3 citations*
4. **[HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks](https://md.research.elamur.ai/free/en/papers/zeng-2026-hyperedit-unlocking-instruction-based-text/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiming Zeng, Jinghan Cao, Zexin Li, et al.*2026*
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. [**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/)
7. **[Teaching LLMs Human-Like Editing of Inappropriate Argumentation via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/ziegenbein-2026-teaching-llms-human-like-editing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Timon Ziegenbein, Maja Stahl, Henning Wachsmuth*2026*
8. [**ArbESC+: Arabic Enhanced Edit Selection System Combination for Grammatical Error Correction Resolving conflict and improving system combination in Arabic GEC arXiv:2511.14230**Ahlam Alrehili, Areej Alhothali*2025*](https://md.research.elamur.ai/free/en/papers/alrehili-2025-arbesc-arabic-enhanced-edit-selection/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/stahlberg-2020-seq2edits-sequence-transduction-using-span/) — Seq2Edits: Sequence Transduction Using Span-level Edit Operations