---
title: "Alex Wang — papers of 2019 — 5 papers, the most cited first"
description: "Alex Wang — papers of 2019: 5 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/alex-wang/year/2019/"
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# Alex Wang — papers of 2019 — 5 papers, the most cited first

5 papers · [all years of Alex Wang](https://md.research.elamur.ai/free/en/authors/alex-wang/#years)

- [SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems arXiv:1905.00537](https://md.research.elamur.ai/free/en/papers/wang-2019-superglue-stickier-benchmark-general-purpose/) — Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al. · 2019 · 2,227 citations

**[On Measuring Social Biases in Sentence Encoders](https://md.research.elamur.ai/free/en/papers/may-2019-measuring-social-biases-sentence-encoders/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chandler May, Alex Wang, Shikha Bordia, et al.*2019 · 769 citations*

- [What do you learn from context? Probing for sentence structure in contextualized word representations arXiv:1905.06316](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/) — Ian Tenney, Patrick Xia, Berlin Chen, et al. · 2019 · 602 citations
- [BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model arXiv:1902.04094](https://md.research.elamur.ai/free/en/papers/wang-2019-bert-has-mouth-must-speak/) — Alex Wang, Kyunghyun Cho · 2019 · 256 citations

**[Probing What Different NLP Tasks Teach Machines about Function Word Comprehension](https://md.research.elamur.ai/free/en/papers/kim-2019-probing-what-different-nlp-tasks/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Najoung Kim, Roma Patel, Adam Poliak, et al.*2019 · 163 citations*
