---
title: "Jie Tang — papers of 2022 — 3 papers, the most cited first"
description: "Jie Tang — papers of 2022: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Jie Tang — papers of 2022 — 3 papers, the most cited first

3 papers · [all years of Jie Tang](https://md.research.elamur.ai/free/en/authors/jie-tang/#years)

**[GLM: General Language Model Pretraining with Autoregressive Blank Infilling](https://md.research.elamur.ai/free/en/papers/du-2022-glm-general-language-model-pretraining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengxiao Du, Yujie Qian, Xiao Liu, et al.*2022 · 1,455 citations*

**[P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2022-p-tuning-prompt-tuning-can/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Liu, Kaixuan Ji, Yicheng Fu, et al.*2022 · 1,017 citations*

- [CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers arXiv:2205.15868](https://md.research.elamur.ai/free/en/papers/hong-2022-cogvideo-large-scale-pretraining/) — Wenyi Hong, Ming Ding, Wendi Zheng, et al. · 2022 · 191 citations