---
title: "Weixin Liang — author profile and papers — Elamur Research"
description: "Weixin Liang, OpenAI: 4 papers on Elamur Research (2023–2024), h-index 16 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/weixin-liang/"
---
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# Weixin Liang

Weixin Liang has 4 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Hancheng Cao](https://md.research.elamur.ai/free/en/authors/hancheng-cao/), [James Zou](https://md.research.elamur.ai/free/en/authors/james-zou/), [Daniel A. McFarland](https://md.research.elamur.ai/free/en/authors/daniel-a-mcfarland/).

4 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5076286335) · [ORCID](https://orcid.org/0000-0001-9924-693X) · [**h-index 16**](https://openalex.org/authors/A5076286335) · [35 works](https://openalex.org/works?filter=author.id:A5076286335) · [2,123 citations](https://openalex.org/works?filter=author.id:A5076286335&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/weixin-liang/#papers) · [🔗 Cited 364 times in our library](https://md.research.elamur.ai/free/en/authors/weixin-liang/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3635](https://md.research.elamur.ai/free/en/paper-stars/page/37/#star-3635)

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=Weixin+Liang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Weixin+Liang) · [dblp](https://dblp.org/search?q=Weixin+Liang) · [ACL Anthology](https://aclanthology.org/search/?q=Weixin+Liang)

## Affiliations

[🎓**Stanford University** Stanford · United States 2019–2026 · 42 papersEmployment · Computer Science*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🏢**OpenAI** San Francisco · United States 2025 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/openai/) · [🎓**Zhejiang University** Hangzhou · China 2018–2020 · 3 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Columbia University** New York · United States 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/columbia-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

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

📚 Shelves 10 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Decision Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [History and Philosophy of Science · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) · [Statistics, Probability and Uncertainty · 2 works](https://md.research.elamur.ai/free/en/shelves/decision-sciences/statistics-probability-and-uncertainty/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/weixin-liang/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/weixin-liang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Can large language models provide useful feedback on research papers? A large-scale empirical analysis](https://md.research.elamur.ai/free/en/papers/liang-2023-large-language-models-provide/)** *(2023 · 332 citations)* Rising submission volumes make it harder to get timely, high-quality critique of manuscripts. ICLR submissions, for example, grew from 960 in 2018 to 4,966 in 2023. Junior and under-resourced researchers are hit hardest. The authors test whether GPT-4 can supply useful reviewer-style comments. Their pipeline parses a…
2. **[Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews](https://md.research.elamur.ai/free/en/papers/liang-2024-monitoring-ai-modified-content/)** *(2024 · 119 citations)* Detecting LLM-written text one document at a time is unreliable, and humans perform barely better than chance at it.
3. **[GPT detectors are biased against non-native English writers](https://md.research.elamur.ai/free/en/papers/liang-2023-gpt-detectors-biased-against-non/)** *(2023 · 110 citations)* AI-text detectors are increasingly used to check essays and papers, yet little was known about whether they treat all human writers equally.
4. **[Mapping the Increasing Use of LLMs in Scientific Papers](https://md.research.elamur.ai/free/en/papers/liang-2024-mapping-increasing-use-llms/)** *(2024 · 89 citations)* Since ChatGPT appeared, many have guessed how often researchers use LLMs to write papers, but there has been no reliable measurement.

## All works

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

1. [**Can large language models provide useful feedback on research papers? A large-scale empirical analysis arXiv:2310.01783**Weixin Liang, Yuhui Zhang, Hancheng Cao, et al.*2023 · 332 citations*](https://md.research.elamur.ai/free/en/papers/liang-2023-large-language-models-provide/)
2. **[Mind the Gap: Understanding the Modality Gap in Multi-Modal Contrastive Representation Learning ↗](https://doi.org/10.52202/068431-1280) neural information processing systems · no summary yet**Weixin Liang et al.*2022 · 128 citations*
3. [**Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews arXiv:2403.07183**Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.*2024 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-monitoring-ai-modified-content/)
4. [**GPT detectors are biased against non-native English writers arXiv:2304.02819**Weixin Liang, Mert Yuksekgonul, Yining Mao, et al.*2023 · 110 citations*](https://md.research.elamur.ai/free/en/papers/liang-2023-gpt-detectors-biased-against-non/)
5. [**Mapping the Increasing Use of LLMs in Scientific Papers arXiv:2404.01268**Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.*2024 · 89 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-mapping-increasing-use-llms/)
6. **[Quantifying large language model usage in scientific papers ↗](https://doi.org/10.1038/s41562-025-02273-8) Nature Human Behaviour · no summary yet**Weixin Liang et al.*2025 · 81 citations*
7. **[Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models ↗](https://arxiv.org/abs/2411.04996) arXiv:2411.04996 · Transactions on Machine Learning Research (2025), ISSN: 2835-8856 · no summary yet**Weixin Liang et al.*2024 · 25 citations*
8. **[LMFusion: Adapting Pretrained Language Models for Multimodal Generation ↗](https://doi.org/10.52202/085713-0310) neural information processing systems · no summary yet**Weijia Shi et al.*2025 · 24 citations*
9. **[Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity ↗](https://arxiv.org/abs/2501.16295) arXiv (Cornell University) · no summary yet**Weixin Liang et al.*2025 · 2 citations*
10. **[How random is the review outcome? A systematic study of the impact of external factors on eLife peer review ↗](https://doi.org/10.1101/2023.01.04.522708) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Weixin Liang et al.*2023 · 1 citation*

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Hancheng Cao](https://md.research.elamur.ai/free/en/authors/hancheng-cao/) ×3
- [James Zou](https://md.research.elamur.ai/free/en/authors/james-zou/) ×3
- [Daniel A. McFarland](https://md.research.elamur.ai/free/en/authors/daniel-a-mcfarland/) ×2
- [Haley Lepp](https://md.research.elamur.ai/free/en/authors/haley-lepp/) ×2
- [Sheng Liu](https://md.research.elamur.ai/free/en/authors/sheng-liu/) ×2
- [Siyu He](https://md.research.elamur.ai/free/en/authors/siyu-he/) ×2
- [Xuandong Zhao](https://md.research.elamur.ai/free/en/authors/xuandong-zhao/) ×2
- [Yaohui Zhang](https://md.research.elamur.ai/free/en/authors/yaohui-zhang/) ×2
- [Zhi Huang](https://md.research.elamur.ai/free/en/authors/zhi-huang/) ×2
- [Christopher E. Potts](https://md.research.elamur.ai/free/en/authors/christopher-e-potts/)
- [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/)
- [Eric Wu](https://md.research.elamur.ai/free/en/authors/eric-wu/)

## Venues

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

- neural information processing systems ×2
- Nature Human Behaviour
- bioRxiv (Cold Spring Harbor Laboratory)

## Cited by

Papers of our library cite their works 364 times (of the 149,439 papers whose bibliographies we read); [75 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/weixin-liang/cited-by/).

Updated 2 November 2026