---
title: "Ruiyi Zhang · Adobe Systems — author profile and papers"
description: "Ruiyi Zhang, Adobe Systems: 5 papers on Elamur Research (2023–2026), h-index 26 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/ruiyi-zhang/"
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# Ruiyi Zhang

Ruiyi Zhang has 5 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Ryan A. Rossi](https://md.research.elamur.ai/free/en/authors/ryan-a-rossi/), [Tong Yu](https://md.research.elamur.ai/free/en/authors/tong-yu/), [Franck Dernoncourt](https://md.research.elamur.ai/free/en/authors/franck-dernoncourt/).

5 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5101424484) · [ORCID](https://orcid.org/0000-0002-4776-6762) · [**h-index 26**](https://openalex.org/authors/A5101424484) · [144 works](https://openalex.org/works?filter=author.id:A5101424484) · [2,971 citations](https://openalex.org/works?filter=author.id:A5101424484&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/#papers) · [🔗 Cited 652 times in our library](https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2313](https://md.research.elamur.ai/free/en/paper-stars/page/24/#star-2313)

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

## Affiliations

[🏢**Adobe Systems** San Jose · United States 2022–2026 · 34 papers*current*](https://md.research.elamur.ai/free/en/companies/adobe-systems/) · [🎓**University of California San Diego** San Diego · United States 2024–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🏢**China Construction Eighth Engineering Division** Pudong · China 2025–2026 · 2 papers*current*](https://ror.org/04yt9wc05) · [🎓**Duke University** Durham · United States 2017–2022 · 34 papers](https://md.research.elamur.ai/free/en/universities/duke-university/) · [🏥**Second Affiliated Hospital of Zhengzhou University** Zhengzhou · China 2020–2024 · 9 papers](https://ror.org/026bqfq17) · [🎓**Peking University** Beijing · China 2020–2022 · 6 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Zhengzhou University** Zhengzhou · China 2020–2022 · 6 papers](https://md.research.elamur.ai/free/en/universities/zhengzhou-university/) · [🎓**Center for Excellence in Brain Science and Intelligence Technology** Shanghai · China 2023–2025 · 5 papers](https://ror.org/00vpwhm04) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2023–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 22 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Large language models · 1 work](https://md.research.elamur.ai/free/en/concepts/large-language-models/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Bias and Fairness in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/gallegos-2023-bias-fairness-large-language-models/)** *(2023 · 1,082 citations)* Large language models learn from enormous, mostly uncurated web text. Along the way they absorb social biases and can even amplify them: stereotypes, toxic or exclusionary wording, and weak handling of some dialects. These harms fall hardest on groups that are already marginalized. This survey, accepted at…
2. **[Doc-React: Multi-page Heterogeneous Document Question-answering](https://md.research.elamur.ai/free/en/papers/wu-2025-doc-react-multi-page-heterogeneous/)** *(2025 · 6 citations)* Doc-React tackles question answering over long documents whose pages mix text, charts and images in irregular layouts.
3. **[Lizard: An Efficient Linearization Framework for Large Language Models](https://md.research.elamur.ai/free/en/papers/nguyen-2026-lizard-efficient-linearization-framework-large/)** *(2026 · 2 citations)* Transformer LLMs become expensive on long inputs because softmax attention scales quadratically and the KV cache keeps growing during generation.
4. **[CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing](https://md.research.elamur.ai/free/en/papers/wang-2026-cacheprune-teaching-llms-what-not/)** *(2026)* The paper addresses indirect prompt injection, where an LLM obeys commands hidden inside supplied context (e.g., a retrieved passage) instead of answering the user's actual request.
5. **[SimpleOCR: Rendering Visual Questions to Teach MLLMs to Read](https://md.research.elamur.ai/free/en/papers/peng-2026-simpleocr-rendering-visual-questions-teach/)** *(2026)* The paper asks whether multimodal LLMs actually use their OCR skills during reasoning or mostly rely on the question supplied as text.

## All works

12 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. **[Bias and Fairness in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/gallegos-2023-bias-fairness-large-language-models/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.*2023 · 1,082 citations*
2. **[Towards Language-Free Training for Text-to-Image Generation ↗](https://doi.org/10.1109/cvpr52688.2022.01738) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yufan Zhou et al.*2022 · 216 citations*
3. **[Towards Building The Federatedgpt: Federated Instruction Tuning ↗](https://doi.org/10.1109/icassp48485.2024.10447454) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Jianyi Zhang et al.*2024 · 129 citations*
4. **[LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding ↗](https://arxiv.org/abs/2306.17107) arXiv:2306.17107 · no summary yet**Yanzhe Zhang et al.*2023 · 98 citations*
5. **[Topic-Guided Variational Auto-Encoder for Text Generation ↗](https://aclanthology.org/N19-1015/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Wenlin Wang et al.*2019 · 91 citations*
6. **[AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models ↗](https://arxiv.org/abs/2310.15140) arXiv:2310.15140 · no summary yet**Sicheng Zhu et al.*2023 · 90 citations*
7. **[Personalization of Large Language Models: A Survey ↗](https://arxiv.org/abs/2411.00027) arXiv (Cornell University) · no summary yet**Zhehao Zhang et al.*2024 · 61 citations*
8. **[Robustness of Demonstration-based Learning Under Limited Data Scenario ↗](https://aclanthology.org/2022.emnlp-main.116/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Hongxin Zhang et al.*2022 · 18 citations*
9. **[Doc-React: Multi-page Heterogeneous Document Question-answering](https://md.research.elamur.ai/free/en/papers/wu-2025-doc-react-multi-page-heterogeneous/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junda Wu, Yu Xia, Tong Yu, et al.*2025 · 6 citations*
10. **[Lizard: An Efficient Linearization Framework for Large Language Models](https://md.research.elamur.ai/free/en/papers/nguyen-2026-lizard-efficient-linearization-framework-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chien Van Nguyen, Huy Huu Nguyen, Ruiyi Zhang, et al.*2026 · 2 citations*
11. **[CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing](https://md.research.elamur.ai/free/en/papers/wang-2026-cacheprune-teaching-llms-what-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Wang, Junda Wu, Yu Xia, et al.*2026*
12. **[SimpleOCR: Rendering Visual Questions to Teach MLLMs to Read](https://md.research.elamur.ai/free/en/papers/peng-2026-simpleocr-rendering-visual-questions-teach/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Peng, Peng Xia, Ding Zhong, et al.*2026*

## Co-authors here

12 of 23 co-authors with a page, the most papers together first.

- [Ryan A. Rossi](https://md.research.elamur.ai/free/en/authors/ryan-a-rossi/) ×4
- [Tong Yu](https://md.research.elamur.ai/free/en/authors/tong-yu/) ×3
- [Franck Dernoncourt](https://md.research.elamur.ai/free/en/authors/franck-dernoncourt/) ×2
- [Julian McAuley](https://md.research.elamur.ai/free/en/authors/julian-mcauley/) ×2
- [Junda Wu](https://md.research.elamur.ai/free/en/authors/junda-wu/) ×2
- [Sungchul Kim](https://md.research.elamur.ai/free/en/authors/sungchul-kim/) ×2
- [Yu Xia](https://md.research.elamur.ai/free/en/authors/yu-xia/) ×2
- [Chien Van Nguyen](https://md.research.elamur.ai/free/en/authors/chien-van-nguyen/)
- [Haoliang Wang](https://md.research.elamur.ai/free/en/authors/haoliang-wang/)
- [Huaxiu Yao](https://md.research.elamur.ai/free/en/authors/huaxiu-yao/)
- [Joe Barrow](https://md.research.elamur.ai/free/en/authors/joe-barrow/)
- [Lina Yao](https://md.research.elamur.ai/free/en/authors/lina-yao/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/): [Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/cl/2023/)
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- IEEE International Conference on Acoustics Speech and Signal Processing
- Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

## Cited by

Papers of our library cite their works 652 times (of the 149,439 papers whose bibliographies we read); [147 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/cited-by/).

Updated 1 November 2026