---
title: "Who cites Xuan Zhang — 72 papers of our library"
description: "72 papers of the Elamur Research library cite the works of Xuan Zhang, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/xuan-zhang/cited-by/"
---
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# Who cites Xuan Zhang

74 citations of their works from 72 papers of our library (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← Xuan Zhang](https://md.research.elamur.ai/free/en/authors/xuan-zhang/)

1. **[Unsupervised Domain Clusters in Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/aharoni-2020-unsupervised-domain-clusters-pretrained-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Roee Aharoni, Yoav Goldberg*2020 · 330 citations*
2. **[Norm-Based Curriculum Learning for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/liu-2020-norm-based-curriculum-learning-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuebo Liu, Houtim Lai, Derek F. Wong, et al.*2020 · 158 citations*
3. **[Efficient Methods for Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/treviso-2023-efficient-methods-natural-language-processing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.*2023 · 145 citations*
4. **[A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021](https://md.research.elamur.ai/free/en/papers/anderson-2021-modest-pareto-optimisation-analysis-dependency/) [International Conference on Parsing Technologies and the IWPT Shared Task on Parsing into Enhanced Universal Dependencies](https://md.research.elamur.ai/free/en/venues/iwpt/)**Mark Anderson, Carlos Gómez-Rodríguez*2021 · 10 citations*
5. **[Balancing Knowledge Breadth and Task Depth for Effective Domain Adaptation Fine-Tuning](https://md.research.elamur.ai/free/en/papers/zhang-2026-balancing-knowledge-breadth-task-depth/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mu Zhang, Yuxiang Chu, Guangya Yu, et al.*2026*

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

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