---
title: "Jiaxin Pei · Stanford University — author profile and papers"
description: "Jiaxin Pei, Stanford University: 2 papers on Elamur Research (2022–2025), h-index 10 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/jiaxin-pei/"
---
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# Jiaxin Pei

Jiaxin Pei has 2 papers in our library, in 2022–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [David Jurgens](https://md.research.elamur.ai/free/en/authors/david-jurgens/), [Dirk Hovy](https://md.research.elamur.ai/free/en/authors/dirk-hovy/), [Naitian Zhou](https://md.research.elamur.ai/free/en/authors/naitian-zhou/).

2 papers in our library · 2022–2025

[OpenAlex](https://openalex.org/A5049055745) · [ORCID](https://orcid.org/0000-0003-2123-0457) · [**h-index 10**](https://openalex.org/authors/A5049055745) · [29 works](https://openalex.org/works?filter=author.id:A5049055745) · [346 citations](https://openalex.org/works?filter=author.id:A5049055745&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiaxin-pei/#papers) · [🔗 Cited 137 times in our library](https://md.research.elamur.ai/free/en/authors/jiaxin-pei/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7703](https://md.research.elamur.ai/free/en/paper-stars/page/78/#star-7703)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jiaxin+Pei) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiaxin+Pei) · [dblp](https://dblp.org/search?q=Jiaxin+Pei) · [ACL Anthology](https://aclanthology.org/search/?q=Jiaxin+Pei)

## Affiliations

[🎓**Stanford University** Stanford · United States 2023–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of Michigan** Ann Arbor · United States 2020–2025 · 16 papers](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) · [🎓**Wuhan University** Wuhan · China 2018–2019 · 2 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jiaxin-pei/year/2025/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/jiaxin-pei/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[POTATO: The Portable Text Annotation Tool](https://md.research.elamur.ai/free/en/papers/pei-2022-potato-portable-text-annotation-tool/)** *(2022 · 90 citations)* NLP projects increasingly need annotations for intricate tasks. Existing tools such as Label Studio, Doccano, LightTag and Prodigy each have drawbacks: some depend on external hosting, some offer little layout flexibility for complex designs, and some cost too much for small teams. The authors present POTATO, a free…
2. **[Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions](https://md.research.elamur.ai/free/en/papers/orlikowski-2025-beyond-demographics-fine-tuning-large/)** *(2025 · 22 citations)* Subjective annotation tasks often show annotator disagreement, and part of it is attributed to sociodemographic background. Zero-shot sociodemographic prompting of LLMs is known to work poorly. This paper asks whether fine-tuning can turn LLMs into accurate demographic models of annotators.

## All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[When “A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models ↗](https://aclanthology.org/2024.findings-emnlp.888/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Mingqian Zheng et al.*2024 · 114 citations*
2. **[POTATO: The Portable Text Annotation Tool](https://md.research.elamur.ai/free/en/papers/pei-2022-potato-portable-text-annotation-tool/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, et al.*2022 · 90 citations*
3. **[Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions](https://md.research.elamur.ai/free/en/papers/orlikowski-2025-beyond-demographics-fine-tuning-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Matthias Orlikowski, Jiaxin Pei, Paul Röttger, et al.*2025 · 22 citations*
4. **[Modeling Information Change in Science Communication with Semantically Matched Paraphrases ↗](https://aclanthology.org/2022.emnlp-main.117/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Dustin Wright et al.*2022 · 17 citations*

## Co-authors here

6 co-authors with a page, the most papers together first.

- [David Jurgens](https://md.research.elamur.ai/free/en/authors/david-jurgens/) ×2
- [Dirk Hovy](https://md.research.elamur.ai/free/en/authors/dirk-hovy/)
- [Naitian Zhou](https://md.research.elamur.ai/free/en/authors/naitian-zhou/)
- [Paul Röttger](https://md.research.elamur.ai/free/en/authors/paul-rottger/)
- [Philipp Cimiano](https://md.research.elamur.ai/free/en/authors/philipp-cimiano/)
- [Xingyao Wang](https://md.research.elamur.ai/free/en/authors/xingyao-wang/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/)
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- Findings of the Association for Computational Linguistics: EMNLP 2024

## Cited by

Papers of our library cite their works 137 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiaxin-pei/cited-by/).

Updated 30 October 2026
