---
title: "Xiaodong Liu — papers of 2020 — 6 papers, the most cited first"
description: "Xiaodong Liu — papers of 2020: 6 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Xiaodong Liu — papers of 2020 — 6 papers, the most cited first

6 papers · [all years of Xiaodong Liu](https://md.research.elamur.ai/free/en/authors/xiaodong-liu/#years)

- [DeBERTa: Decoding-enhanced BERT with Disentangled Attention arXiv:2006.03654](https://md.research.elamur.ai/free/en/papers/he-2020-deberta-decoding-enhanced-bert-disentangled/) — Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al. · 2020 · 1,828 citations

**[RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers](https://md.research.elamur.ai/free/en/papers/wang-2020-rat-sql-relation-aware-schema/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bailin Wang, Richard Shin, Xiaodong Liu, et al.*2020 · 753 citations*

- [UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training arXiv:2002.12804](https://md.research.elamur.ai/free/en/papers/bao-2020-unilmv2-pseudo-masked-language-models/) — Hangbo Bao, Li Dong, Furu Wei, et al. · 2020 · 395 citations

**[SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization](https://md.research.elamur.ai/free/en/papers/jiang-2020-smart-robust-efficient-fine-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoming Jiang, Pengcheng He, Weizhu Chen, et al.*2020 · 304 citations*

**[Understanding the Difficulty of Training Transformers](https://md.research.elamur.ai/free/en/papers/liu-2020-understanding-difficulty-training-transformers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Liyuan Liu, Xiaodong Liu, Jianfeng Gao, et al.*2020 · 231 citations*

- [Generation-Augmented Retrieval for Open-domain Question Answering arXiv:2009.08553](https://md.research.elamur.ai/free/en/papers/mao-2020-generation-augmented-retrieval-open-domain/) — Yuning Mao, Pengcheng He, Xiaodong Liu, et al. · 2020 · 151 citations