---
title: "Who cites UER: An Open-Source Toolkit for Pre-training Models"
description: "41 papers of the Elamur Research library cite «UER: An Open-Source Toolkit for Pre-training Models», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/zhao-2019-uer-open-source-toolkit-pre/cited-by/"
---
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# Who cites «UER: An Open-Source Toolkit for Pre-training Models»

41 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «UER: An Open-Source Toolkit for Pre-training Models»](https://md.research.elamur.ai/free/en/papers/zhao-2019-uer-open-source-toolkit-pre/)

1. **[FastBERT: a Self-distilling BERT with Adaptive Inference Time](https://md.research.elamur.ai/free/en/papers/liu-2020-fastbert-self-distilling-bert-adaptive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weijie Liu, Peng Zhou, Zhiruo Wang, et al.*2020 · 383 citations*
2. [**CLUE: A Chinese Language Understanding Evaluation Benchmark arXiv:2004.05986**Liang Xu, Hai Hu, Xuanwei Zhang, et al.*2020 · 244 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-clue-chinese-language-understanding/)
3. **[NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation](https://md.research.elamur.ai/free/en/papers/dhole-2023-nl-augmenter-framework-task-sensitive/) [Northern European Journal of Language Technology](https://md.research.elamur.ai/free/en/venues/northern-european-journal-of-language-technology/)**Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.*2023 · 86 citations*
4. [**FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark arXiv:2107.07498**Liang Xu, Xiaojing Lu, Chenyang Yuan, et al.*2021 · 54 citations*](https://md.research.elamur.ai/free/en/papers/xu-2021-fewclue-chinese-few-shot/)
5. **[SLING: Sino Linguistic Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/song-2022-sling-sino-linguistic-evaluation-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, et al.*2022 · 41 citations*

36 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/zhao-2019-uer-open-source-toolkit-pre/) — UER: An Open-Source Toolkit for Pre-training Models