Who cites Jipeng Qiang
- Evaluating prose style transfer with the BibleKeith Carlson, Allen Riddell, Daniel Rockmore2017 · 78 citations
- Chinese Idiom ParaphrasingTransactions of the Association for Computational Linguistics (TACL)Jipeng Qiang, Yang Li, Chaowei Zhang, et al.2023 · 31 citations
- Edition 2.0 of the PARSEME shared task on multilingual identification and paraphrasing of multiword expressionsWorkshop on Multiword Expressions (MWE)Manon Scholivet, Agata Savary, Carlos Ramisch, et al.2026 · 9 citations
- Controlling Reading Ease with Gaze-Guided Text GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Andreas Säuberli, Darja Jepifanova, Diego Frassinelli, et al.2026 · 3 citations
- AMAR at BAREC Shared Task 2025: Arabic Meta-learner for Assessing ReadabilityArabic Natural Language Processing Conference (ArabicNLP)Mostafa Saeed, Rana Waly, Abdelaziz Ashraf Hussein2025 · 1 citation
- Towards Content Accessibility Through Lexical Simplification for Maltese as a Low-Resource LanguageWorkshop on Language Technology for Equality, Diversity, InclusionMartina Meli, Marc Tanti, Chris Porter2024 · 1 citation
- APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and InterpretationAnnual Meeting of the Association for Computational Linguistics (ACL)Pengyun Zhu, Qiheng Sun, Long Wen, et al.2026
- Evaluating LLM-based Text Simplification for German: Effects on Post-Editing Effort, Quality Ratings, and User ComprehensionLanguage Resources and Evaluation Conference (LREC)Luisa Carrer, Andreas Säuberli, Martin Kappus, et al.2026
- OasisSimp: An Open-source Asian-English Sentence Simplification DatasetLanguage Resources and Evaluation Conference (LREC)Hannah Liu, Murphy Tian, Iqra Ali, et al.2026
- Opportunities and Challenges of LLMs in Education: An NLP PerspectiveWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sowmya Vajjala, Bashar Alhafni, Stefano Banno, 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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