🧑‍🔬 Weixin Liang

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2019–2026 · 42 papersEmployment · Computer Sciencecurrent🏢OpenAISan Francisco · United States2025 · 3 paperscurrent🎓Zhejiang UniversityHangzhou · China2018–2020 · 3 papers🎓Columbia UniversityNew York · United States2021 · 2 papers

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.

📅 Works by year

2020s

📄 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 (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 (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 (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 (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 analysisarXiv:2310.01783Weixin Liang, Yuhui Zhang, Hancheng Cao, et al.2023 · 332 citations
2. Mind the Gap: Understanding the Modality Gap in Multi-Modal Contrastive Representation Learning ↗neural information processing systems · no summary yetWeixin 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 ReviewsarXiv:2403.07183Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.2024 · 119 citations
4. GPT detectors are biased against non-native English writersarXiv:2304.02819Weixin Liang, Mert Yuksekgonul, Yining Mao, et al.2023 · 110 citations
5. Mapping the Increasing Use of LLMs in Scientific PapersarXiv:2404.01268Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.2024 · 89 citations
6. Quantifying large language model usage in scientific papers ↗Nature Human Behaviour · no summary yetWeixin Liang et al.2025 · 81 citations
7. Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models ↗arXiv:2411.04996 · Transactions on Machine Learning Research (2025), ISSN: 2835-8856 · no summary yetWeixin Liang et al.2024 · 25 citations
8. LMFusion: Adapting Pretrained Language Models for Multimodal Generation ↗neural information processing systems · no summary yetWeijia Shi et al.2025 · 24 citations
9. Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity ↗arXiv (Cornell University) · no summary yetWeixin 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 ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetWeixin Liang et al.2023 · 1 citation

🤝 Co-authors here

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

• Hancheng Cao ×3
• James Zou ×3
• Daniel A. McFarland ×2
• Haley Lepp ×2
• Sheng Liu ×2
• Siyu He ×2
• Xuandong Zhao ×2
• Yaohui Zhang ×2
• Zhi Huang ×2
• Christopher E. Potts
• Diyi Yang
• 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 →.

Updated 2 November 2026

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