---
title: "Who cites Xiang Lan — 131 papers of our library"
description: "131 papers of the Elamur Research library cite the works of Xiang Lan, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/xiang-lan/cited-by/"
---
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# Who cites Xiang Lan

143 citations of their works from 131 papers of our library (of the 141,840 whose bibliographies we read) · 15 with a page here, the most cited first · [← Xiang Lan](https://md.research.elamur.ai/free/en/authors/xiang-lan/)

1. **[Adversarial Example Generation with Syntactically Controlled Paraphrase Networks](https://md.research.elamur.ai/free/en/papers/iyyer-2018-adversarial-example-generation-syntactically-controlled/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mohit Iyyer, John Wieting, Kevin Gimpel, et al.*2018 · 937 citations*
2. [**A Monolingual Tree-based Translation Model for Sentence Simplification**Zhemin Zhu, Delphine Bernhard, Iryna Gurevych*2010 · 555 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2010-monolingual-tree-based-translation-model/)
3. [**Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods**Nitin Madnani, Bonnie J. Dorr*2010 · 426 citations*](https://md.research.elamur.ai/free/en/papers/madnani-2010-generating-phrasal-sentential-paraphrases-survey/)
4. **[BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains](https://md.research.elamur.ai/free/en/papers/labrak-2024-biomistral-collection-open-source-pretrained/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.*2024 · 408 citations*
5. [**Sentence Simplification by Monolingual Machine Translation**Sander Wubben, Antal van den Bosch, Emiel Krahmer*2012 · 392 citations*](https://md.research.elamur.ai/free/en/papers/wubben-2012-sentence-simplification-monolingual-machine-translation/)
6. **[Neural Paraphrase Generation with Stacked Residual LSTM Networks](https://md.research.elamur.ai/free/en/papers/prakash-2016-neural-paraphrase-generation-stacked-residual/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Aaditya Prakash, Sadid A. Hasan, Kathy Lee, et al.*2016 · 336 citations*
7. [**Learning to Simplify Sentences with Quasi-Synchronous Grammar and Integer Programming**Kristian Woodsend, Mirella Lapata*2011 · 334 citations*](https://md.research.elamur.ai/free/en/papers/woodsend-2011-learning-simplify-sentences-quasi-synchronous/)
8. **[Paraphrase Generation with Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/li-2018-paraphrase-generation-deep-reinforcement-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zichao Li, Xin Jiang, Lifeng Shang, et al.*2018 · 299 citations*
9. **[A Survey of Paraphrasing and Textual Entailment Methods](https://md.research.elamur.ai/free/en/papers/androutsopoulos-2009-survey-paraphrasing-textual-entailment-methods/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Ion Androutsopoulos, Prodromos Malakasiotis*2009 · 281 citations*
10. [**A Deep Generative Framework for Paraphrase Generation arXiv:1709.05074**Ankush Gupta, Arvind Agarwal, Prawaan Singh, et al.*2017 · 232 citations*](https://md.research.elamur.ai/free/en/papers/gupta-2017-deep-generative-framework-paraphrase-generation/)
11. [**TrustLLM: Trustworthiness in Large Language Models arXiv:2401.05561**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
12. **[Statistical Metaphor Processing](https://md.research.elamur.ai/free/en/papers/shutova-2013-statistical-metaphor-processing/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ekaterina Shutova, Simone Teufel, Anna Korhonen*2013 · 197 citations*
13. [**Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models arXiv:2503.16419**Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.*2025 · 153 citations*](https://md.research.elamur.ai/free/en/papers/sui-2025-stop-overthinking-survey-efficient-reasoning/)
14. [**A Survey of Large Language Models in Medicine: Progress, Application, and Challenge arXiv:2311.05112**Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.*2023 · 87 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-survey-large-language-models-medicine/)
15. [**Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care arXiv:2406.15966**Hassan Alhuzali, Ashwag Alasmari*2024*](https://md.research.elamur.ai/free/en/papers/alhuzali-2024-evaluating-effectiveness-foundational-models-q/)

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

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