--- title: "Who cites Yang Zhong — 141 papers of our library" description: "141 papers of the Elamur Research library cite the works of Yang Zhong, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/yang-zhong/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yang-zhong/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yang Zhong](https://md.research.elamur.ai/free/en/authors/yang-zhong/) / cited by # 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](https://md.research.elamur.ai/free/en/authors/yang-zhong/) 1. **[SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer](https://md.research.elamur.ai/free/en/papers/vu-2022-spot-better-frozen-model-adaptation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tu Vu, Brian Lester, Noah Constant, et al.*2022 · 306 citations* 2. **[The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification](https://md.research.elamur.ai/free/en/papers/manchego-2021-un-suitability-automatic-evaluation-metrics/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Fernando Alva-Manchego, Carolina Scarton, Lucia Specia*2021 · 156 citations* 3. **[Unified Demonstration Retriever for In-Context Learning](https://md.research.elamur.ai/free/en/papers/li-2023-unified-demonstration-retriever-context-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaonan Li, Kai Lv, Hang Yan, et al.*2023 · 146 citations* 4. **[MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases](https://md.research.elamur.ai/free/en/papers/martin-2022-muss-multilingual-unsupervised-sentence-simplification/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/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 Extraction](https://md.research.elamur.ai/free/en/papers/lan-2020-empirical-study-pre-trained-transformers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wuwei Lan, Yang Chen, Wei Xu, et al.*2020 · 107 citations* 6. **[LENS: A Learnable Evaluation Metric for Text Simplification](https://md.research.elamur.ai/free/en/papers/maddela-2023-lens-learnable-evaluation-metric-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Tasks](https://md.research.elamur.ai/free/en/papers/sottana-2023-evaluation-metrics-era-gpt-4/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Andrea Sottana, Bin Liang, Kai Zou, et al.*2023 · 89 citations* 8. [**Exploring the Benefits of Training Expert Language Models over Instruction Tuning arXiv:2302.03202**Joel Jang, Seungone Kim, Seonghyeon Ye, et al.*2023 · 63 citations*](https://md.research.elamur.ai/free/en/papers/jang-2023-exploring-benefits-training-expert-language/) 9. **[ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews](https://md.research.elamur.ai/free/en/papers/arcy-2024-aries-corpus-scientific-paper-edits/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 !](https://md.research.elamur.ai/free/en/papers/tang-2023-can-diffusion-model-achieve-better/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zecheng Tang, Pinzheng Wang, Keyan Zhou, et al.*2023 · 18 citations* 11. **[StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMs](https://md.research.elamur.ai/free/en/papers/yuan-2025-strucsum-graph-structured-reasoning-long/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haohan Yuan, Sukhwa Hong, Haopeng Zhang*2025 · 9 citations* 12. **[Let's Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence Simplification](https://md.research.elamur.ai/free/en/papers/zhang-2026-let-s-simplify-step-step/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingshen Zhang, Xin Ying Qiu, Lifang Lu, et al.*2026 · 3 citations* 13. **[Stress Testing Factual Consistency Metrics for Long-Document Summarization](https://md.research.elamur.ai/free/en/papers/mujahid-2026-stress-testing-factual-consistency-metrics/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zain Muhammad Mujahid, Dustin Wright, Isabelle Augenstein*2026 · 3 citations* 14. **[Plan-Guided Text Simplification with Extended Contexts](https://md.research.elamur.ai/free/en/papers/mathas-2026-plan-guided-text-simplification-extended/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Pascal Mathas, Jan Bakker, Jaap Kamps*2026 · 1 citation* 15. **[Align and Shine: Building High-quality Sentence-aligned Corpora for Multilingual Text Simplification](https://md.research.elamur.ai/free/en/papers/sanchez-2026-align-shine-building-high-quality/) [Workshop on Building and Using Comparable Corpora (BUCC)](https://md.research.elamur.ai/free/en/venues/bucc/)**Luis Kenji Hilasaca Sanchez, Nouran Khallaf, Serge Sharoff*2026* 16. **[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* 17. **[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* 124 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/yang-zhong/) — Yang Zhong