---
title: "Xuezhi Wang — papers"
description: "Xuezhi Wang: 9 papers in the Elamur Research library (2020–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/xuezhi-wang/"
---
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# Xuezhi Wang

9 papers on this site (2020–2023)

[OpenAlex](https://openalex.org/A5024842018) · [ORCID](https://orcid.org/0000-0001-7592-2358) · h-index 42 · 314 works · 10387 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation](https://md.research.elamur.ai/free/en/papers/vu-2023-freshllms-refreshing-large-language-models/) — Tu Vu, Mohit Iyyer, Xuezhi Wang, et al. · 2023
- [Large Language Models as Optimizers](https://md.research.elamur.ai/free/en/papers/yang-2023-large-language-models-optimizers/) — Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al. · 2023
- [Large Language Models Can Self-Improve](https://md.research.elamur.ai/free/en/papers/huang-2023-large-language-models-can-self/) — Jiaxin Huang, Shixiang Gu, Le Hou, et al. · 2023
- [Chain-of-Thought Prompting Elicits Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/wei-2022-chain-thought-prompting-elicits-reasoning/) — Jason Wei, Xuezhi Wang, Dale Schuurmans, et al. · 2022
- [Language Models are Multilingual Chain-of-Thought Reasoners](https://md.research.elamur.ai/free/en/papers/shi-2022-language-models-multilingual-chain-thought/) — Freda Shi, Mirac Suzgun, Markus Freitag, et al. · 2022
- [Self-Consistency Improves Chain of Thought Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/wang-2022-self-consistency-improves-chain-thought/) — Xuezhi Wang, Jason Wei, Dale Schuurmans, et al. · 2022
- [UL2: Unifying Language Learning Paradigms](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
- [Measuring and Reducing Gendered Correlations in Pre-trained Models](https://md.research.elamur.ai/free/en/papers/webster-2020-measuring-reducing-gendered-correlations-pre/) — Kellie Webster, Xuezhi Wang, Ian Tenney, et al. · 2020
- [ToTTo: A Controlled Table-To-Text Generation Dataset](https://md.research.elamur.ai/free/en/papers/parikh-2020-totto-controlled-table-text-generation/) — Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, et al. · 2020