Who cites Yuki Arase
- Controllable Text Simplification with Explicit ParaphrasingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mounica Maddela, Fernando Alva-Manchego, Wei Xu2021 · 164 citations
- Chinese Idiom ParaphrasingTransactions of the Association for Computational Linguistics (TACL)Jipeng Qiang, Yang Li, Chaowei Zhang, et al.2023 · 31 citations
- Dialog Acts for Task Driven Embodied AgentsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Spandana Gella, Aishwarya Padmakumar, Patrick Lange, et al.2022 · 16 citations
- Exploiting Dialect Identification in Automatic Dialectal Text NormalizationArabic Natural Language Processing Conference (ArabicNLP)Bashar Alhafni, Sarah Al-Towaity, Ziyad Fawzy, et al.2024 · 12 citations
- Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual DisabilitiesarXiv:2507.01479Yingqiang Gao, Kaede Johnson, David Froehlich, et al.2025 · 4 citations
- Controllable Sentence Simplification in Italian: Fine-Tuning Large Language Models on Automatically Generated ResourcesLanguage Resources and Evaluation Conference (LREC)Michele Papucci, Giulia Venturi, Felice Dell'Orletta2026
- Exploring Cognitively Informed Sentence Simplification with Gaze-Guided Text Generationfo the International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLPAndreas Säuberli, Diego Frassinelli, Barbara Plank2026
- GerVLPro: A CEFR-Graded Vocabulary List of L2 Learners' Productive Vocabulary in GermanLanguage Resources and Evaluation Conference (LREC)Noah-Manuel Michael, Anna Hülsing, Andrea Horbach2026
- Pragmatic Modelling in Language Learning: Caregiver Question-Answer Feedback in Child-Directed DialogueLanguage Resources and Evaluation Conference (LREC)Maryam Bala, Johannes Heim, Elspeth Edelstein, et al.2026
- Proficiency-Controlled Text Simplification in European Portuguese: A Preliminary Study using Prompting ApproachesJoint Workshop on Readability and Text Simplification (READIxTSAR) @ LRECEugénio Ribeiro, David Antunes, Nuno Mamede, et al.2026
- Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text SimplificationFindings of the Association for Computational LinguisticsPeng Zhou, Guangxin Li, Xiaoying Huang, et al.2026
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