Elamur Research⌕
☰
home / authors / Ruiyi Zhang

Ruiyi Zhang

Ruiyi Zhang has 5 papers in our library, in 2023–2026, most of them on Language models & pretraining, Vision & language, Question answering; often with Ryan A. Rossi, Tong Yu, Franck Dernoncourt.

5 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 26 · 144 works · 2,971 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 652 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #2313

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Adobe SystemsSan Jose · United States2022–2026 · 34 paperscurrent🎓University of California San DiegoSan Diego · United States2024–2026 · 9 paperscurrent🏢China Construction Eighth Engineering DivisionPudong · China2025–2026 · 2 paperscurrent🎓Duke UniversityDurham · United States2017–2022 · 34 papers🏥Second Affiliated Hospital of Zhengzhou UniversityZhengzhou · China2020–2024 · 9 papers🎓Peking UniversityBeijing · China2020–2022 · 6 papers🎓Zhengzhou UniversityZhengzhou · China2020–2022 · 6 papers🎓Center for Excellence in Brain Science and Intelligence TechnologyShanghai · China2023–2025 · 5 papers🎓University of Chinese Academy of SciencesBeijing · China2023–2025 · 4 papers🏛️Chinese Academy of SciencesBeijing · China2024–2025 · 3 papers

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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArts and Humanities · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksSafety Research · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 3 worksInformation Systems · 2 works

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 3 worksBias, fairness & safety · 1 workVision & language · 2 worksQuestion answering · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Large language models · 1 work

 Works by year

2020s

20263 papers20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Bias and Fairness in Large Language Models: A Survey (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 (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 (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 (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 (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 SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,082 citations
  2. Towards Language-Free Training for Text-to-Image Generation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYufan Zhou et al.2022 · 216 citations
  3. Towards Building The Federatedgpt: Federated Instruction Tuning ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetJianyi Zhang et al.2024 · 129 citations
  4. LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding ↗arXiv:2306.17107 · no summary yetYanzhe Zhang et al.2023 · 98 citations
  5. Topic-Guided Variational Auto-Encoder for Text Generation ↗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 yetWenlin Wang et al.2019 · 91 citations
  6. AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models ↗arXiv:2310.15140 · no summary yetSicheng Zhu et al.2023 · 90 citations
  7. Personalization of Large Language Models: A Survey ↗arXiv (Cornell University) · no summary yetZhehao Zhang et al.2024 · 61 citations
  8. Robustness of Demonstration-based Learning Under Limited Data Scenario ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetHongxin Zhang et al.2022 · 18 citations
  9. Doc-React: Multi-page Heterogeneous Document Question-answeringAnnual Meeting of the Association for Computational Linguistics (ACL)Junda Wu, Yu Xia, Tong Yu, et al.2025 · 6 citations
  10. Lizard: An Efficient Linearization Framework for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (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 EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Wang, Junda Wu, Yu Xia, et al.2026
  12. SimpleOCR: Rendering Visual Questions to Teach MLLMs to ReadFindings of the Association for Computational LinguisticsYibo Peng, Peng Xia, Ding Zhong, et al.2026

 Co-authors here

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

Venues

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

 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 →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ruiyi-zhang/