---
title: "Xuezhi Wang — papers of 2022 — 6 papers, the most cited first"
description: "Xuezhi Wang — papers of 2022: 6 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Xuezhi Wang — papers of 2022 — 6 papers, the most cited first

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

- [Chain-of-Thought Prompting Elicits Reasoning in Large Language Models arXiv:2201.11903](https://md.research.elamur.ai/free/en/papers/wei-2022-chain-thought-prompting-elicits-reasoning/) — Jason Wei, Xuezhi Wang, Dale Schuurmans, et al. · 2022 · 11,499 citations
- [Self-Consistency Improves Chain of Thought Reasoning in Language Models arXiv:2203.11171](https://md.research.elamur.ai/free/en/papers/wang-2022-self-consistency-improves-chain-thought/) — Xuezhi Wang, Jason Wei, Dale Schuurmans, et al. · 2022 · 3,121 citations
- [Language Models are Multilingual Chain-of-Thought Reasoners arXiv:2210.03057](https://md.research.elamur.ai/free/en/papers/shi-2022-language-models-multilingual-chain-thought/) — Freda Shi, Mirac Suzgun, Markus Freitag, et al. · 2022 · 494 citations
- [UL2: Unifying Language Learning Paradigms arXiv:2205.05131](https://md.research.elamur.ai/free/en/papers/tay-2022-ul2-unifying-language-learning-paradigms/) — Yi Tay, Mostafa Dehghani, Vinh Q. Tran, et al. · 2022 · 347 citations

**[Measure and Improve Robustness in NLP Models: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2022-measure-improve-robustness-nlp-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xuezhi Wang, Haohan Wang, Diyi Yang*2022 · 148 citations*

- [Rationale-Augmented Ensembles in Language Models arXiv:2207.00747](https://md.research.elamur.ai/free/en/papers/wang-2022-rationale-augmented-ensembles-language-models/) — Xuezhi Wang, Jason Wei, Dale Schuurmans, et al. · 2022 · 101 citations