---
title: "Who cites Yuki Arase — 109 papers of our library"
description: "109 papers of the Elamur Research library cite the works of Yuki Arase, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/yuki-arase/cited-by/"
---
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# Who cites Yuki Arase

142 citations of their works from 109 papers of our library (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← Yuki Arase](https://md.research.elamur.ai/free/en/authors/yuki-arase/)

1. **[Controllable Text Simplification with Explicit Paraphrasing](https://md.research.elamur.ai/free/en/papers/maddela-2021-controllable-text-simplification-explicit-paraphrasing/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mounica Maddela, Fernando Alva-Manchego, Wei Xu*2021 · 164 citations*
2. **[Chinese Idiom Paraphrasing](https://md.research.elamur.ai/free/en/papers/qiang-2023-chinese-idiom-paraphrasing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jipeng Qiang, Yang Li, Chaowei Zhang, et al.*2023 · 31 citations*
3. **[Dialog Acts for Task Driven Embodied Agents](https://md.research.elamur.ai/free/en/papers/gella-2022-dialog-acts-task-driven-embodied/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Spandana Gella, Aishwarya Padmakumar, Patrick Lange, et al.*2022 · 16 citations*
4. **[Exploiting Dialect Identification in Automatic Dialectal Text Normalization](https://md.research.elamur.ai/free/en/papers/alhafni-2024-exploiting-dialect-identification-automatic-dialectal/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Bashar Alhafni, Sarah Al-Towaity, Ziyad Fawzy, et al.*2024 · 12 citations*
5. [**Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual Disabilities arXiv:2507.01479**Yingqiang Gao, Kaede Johnson, David Froehlich, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/gao-2025-evaluating-effectiveness-direct-preference-optimization/)
6. **[Controllable Sentence Simplification in Italian: Fine-Tuning Large Language Models on Automatically Generated Resources](https://md.research.elamur.ai/free/en/papers/papucci-2026-controllable-sentence-simplification-italian-fine/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Michele Papucci, Giulia Venturi, Felice Dell'Orletta*2026*
7. **[Exploring Cognitively Informed Sentence Simplification with Gaze-Guided Text Generation](https://md.research.elamur.ai/free/en/papers/sauberli-2026-exploring-cognitively-informed-sentence-simplification/) [fo the International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLP](https://md.research.elamur.ai/free/en/venues/gaze4nlp/)**Andreas Säuberli, Diego Frassinelli, Barbara Plank*2026*
8. **[GerVLPro: A CEFR-Graded Vocabulary List of L2 Learners' Productive Vocabulary in German](https://md.research.elamur.ai/free/en/papers/michael-2026-gervlpro-cefr-graded-vocabulary-list/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Noah-Manuel Michael, Anna Hülsing, Andrea Horbach*2026*
9. **[Pragmatic Modelling in Language Learning: Caregiver Question-Answer Feedback in Child-Directed Dialogue](https://md.research.elamur.ai/free/en/papers/bala-2026-pragmatic-modelling-language-learning-caregiver/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Maryam Bala, Johannes Heim, Elspeth Edelstein, et al.*2026*
10. **[Proficiency-Controlled Text Simplification in European Portuguese: A Preliminary Study using Prompting Approaches](https://md.research.elamur.ai/free/en/papers/ribeiro-2026-proficiency-controlled-text-simplification-european/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Eugénio Ribeiro, David Antunes, Nuno Mamede, et al.*2026*
11. **[Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text Simplification](https://md.research.elamur.ai/free/en/papers/zhou-2026-simplify-pro-two-level-progressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peng Zhou, Guangxin Li, Xiaoying Huang, et al.*2026*

98 more citing papers of our library have no page here yet.

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