🧑‍🔬 Who cites Yang Zhong

141 citations of their works from 141 papers of our library (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · ← Yang Zhong

1. SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 306 citations
2. The (Un)Suitability of Automatic Evaluation Metrics for Text SimplificationComputational LinguisticsFernando Alva-Manchego, Carolina Scarton, Lucia Specia2021 · 156 citations
3. Unified Demonstration Retriever for In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaonan Li, Kai Lv, Hang Yan, et al.2023 · 146 citations
4. MUSS: Multilingual Unsupervised Sentence Simplification by Mining ParaphrasesLanguage Resources and Evaluation Conference (LREC)Louis Martin, Angela Fan, Éric de la Clergerie, et al.2022 · 117 citations
5. An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Wuwei Lan, Yang Chen, Wei Xu, et al.2020 · 107 citations
6. LENS: A Learnable Evaluation Metric for Text SimplificationAnnual Meeting of the Association for Computational Linguistics (ACL)Mounica Maddela, Yao Dou, David Heineman, et al.2023 · 104 citations
7. Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Andrea Sottana, Bin Liang, Kai Zou, et al.2023 · 89 citations
8. Exploring the Benefits of Training Expert Language Models over Instruction TuningarXiv:2302.03202Joel Jang, Seungone Kim, Seonghyeon Ye, et al.2023 · 63 citations
9. ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer ReviewsAnnual Meeting of the Association for Computational Linguistics (ACL)Mike D'Arcy, Alexis Ross, Erin Bransom, et al.2024 · 32 citations
10. Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !Findings of the Association for Computational LinguisticsZecheng Tang, Pinzheng Wang, Keyan Zhou, et al.2023 · 18 citations
11. StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMsFindings of the Association for Computational LinguisticsHaohan Yuan, Sukhwa Hong, Haopeng Zhang2025 · 9 citations
12. Let's Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence SimplificationFindings of the Association for Computational LinguisticsJingshen Zhang, Xin Ying Qiu, Lifang Lu, et al.2026 · 3 citations
13. Stress Testing Factual Consistency Metrics for Long-Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zain Muhammad Mujahid, Dustin Wright, Isabelle Augenstein2026 · 3 citations
14. Plan-Guided Text Simplification with Extended ContextsJoint Workshop on Readability and Text Simplification (READIxTSAR) @ LRECPascal Mathas, Jan Bakker, Jaap Kamps2026 · 1 citation
15. Align and Shine: Building High-quality Sentence-aligned Corpora for Multilingual Text SimplificationWorkshop on Building and Using Comparable Corpora (BUCC)Luis Kenji Hilasaca Sanchez, Nouran Khallaf, Serge Sharoff2026
16. 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
17. 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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