---
title: "Jie Tang — papers of 2021 — 3 papers, the most cited first"
description: "Jie Tang — papers of 2021: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/jie-tang/year/2021/"
---
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# Jie Tang — papers of 2021 — 3 papers, the most cited first

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

**[GPT Understands, Too](https://md.research.elamur.ai/free/en/papers/liu-2021-gpt-understands-too/) [AI Open](https://md.research.elamur.ai/free/en/venues/ai-open/)**Xiao Liu, Yanan Zheng, Zhengxiao Du, et al.*2021 · 1,054 citations*

- [CogView: Mastering Text-to-Image Generation via Transformers arXiv:2105.13290](https://md.research.elamur.ai/free/en/papers/ding-2021-cogview-mastering-text-image/) — Ming Ding, Zhuoyi Yang, Wenyi Hong, et al. · 2021 · 469 citations
- [P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks arXiv:2110.07602](https://md.research.elamur.ai/free/en/papers/liu-2021-p-tuning-v2-prompt-tuning/) — Xiao Liu, Kaixuan Ji, Yicheng Fu, et al. · 2021 · 469 citations