---
title: "Who cites CPT: A Pre-Trained Unbalanced — 67 citing papers"
description: "67 papers of the Elamur Research library cite «CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and…"
canonical: "https://research.elamur.ai/free/en/papers/shao-2021-cpt-pre-trained-unbalanced-transformer/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/shao-2021-cpt-pre-trained-unbalanced-transformer/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CPT: A Pre-Trained Unbalanced Transformer for…](https://md.research.elamur.ai/free/en/papers/shao-2021-cpt-pre-trained-unbalanced-transformer/) / cited by

# Who cites «CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation»

67 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation»](https://md.research.elamur.ai/free/en/papers/shao-2021-cpt-pre-trained-unbalanced-transformer/)

1. [**Evaluating Large Language Models: A Comprehensive Survey arXiv:2310.19736**Zishan Guo, Renren Jin, Chuang Liu, et al.*2023 · 182 citations*](https://md.research.elamur.ai/free/en/papers/guo-2023-evaluating-large-language-models-comprehensive/)
2. **[AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/eddine-2022-arabart-pretrained-arabic-sequence-sequence/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Moussa Kamal Eddine, Nadi Tomeh, Nizar Habash, et al.*2022 · 80 citations*
3. **[SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser](https://md.research.elamur.ai/free/en/papers/zhang-2022-syngec-syntax-enhanced-grammatical-error/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yue Zhang, Bo Zhang, Zhenghua Li, et al.*2022 · 76 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/shao-2021-cpt-pre-trained-unbalanced-transformer/) — CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation