---
title: "Weizhu Chen — papers of 2021 — 3 papers, the most cited first"
description: "Weizhu Chen — 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/weizhu-chen/year/2021/"
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# Weizhu Chen — papers of 2021 — 3 papers, the most cited first

3 papers · [all years of Weizhu Chen](https://md.research.elamur.ai/free/en/authors/weizhu-chen/#years)

- [LoRA: Low-Rank Adaptation of Large Language Models arXiv:2106.09685](https://md.research.elamur.ai/free/en/papers/hu-2021-lora-low-rank-adaptation-large/) — Edward J. Hu, Yelong Shen, Phillip Wallis, et al. · 2021 · 8,661 citations
- [DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing arXiv:2111.09543](https://md.research.elamur.ai/free/en/papers/he-2021-debertav3-improving-deberta-using-electra/) — Pengcheng He, Jianfeng Gao, Weizhu Chen · 2021 · 1,320 citations
- [TAPEX: Table Pre-training via Learning a Neural SQL Executor arXiv:2107.07653](https://md.research.elamur.ai/free/en/papers/liu-2021-tapex-table-pre-training-learning/) — Qian Liu, Bei Chen, Jiaqi Guo, et al. · 2021 · 255 citations