---
title: "Yanzhe Zhang · Liaoning University — author profile and papers"
description: "Yanzhe Zhang, Liaoning University: 7 papers on Elamur Research (2023–2026), h-index 18 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/yanzhe-zhang/"
---
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# Yanzhe Zhang

Yanzhe Zhang has 7 papers in our library, in 2023–2026, most of them on [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/), [Chenglei Si](https://md.research.elamur.ai/free/en/authors/chenglei-si/), [Ruibo Liu](https://md.research.elamur.ai/free/en/authors/ruibo-liu/).

7 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5036004533) · [ORCID](https://orcid.org/0000-0002-8460-4789) · [**h-index 18**](https://openalex.org/authors/A5036004533) · [74 works](https://openalex.org/works?filter=author.id:A5036004533) · [776 citations](https://openalex.org/works?filter=author.id:A5036004533&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/yanzhe-zhang/#papers) · [🔗 Cited 421 times in our library](https://md.research.elamur.ai/free/en/authors/yanzhe-zhang/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4700](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4700)

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

## Affiliations

[🎓**Jilin University** Changchun · China 2015–2026 · 32 papers*current*](https://md.research.elamur.ai/free/en/universities/jilin-university/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2022–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**Westlake University** Hangzhou · China 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/westlake-university/) · [🎓**Zhejiang University** Hangzhou · China 2021–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Liaoning University** Shenyang · China 2026 · 1 paper*current*](https://ror.org/03xpwj629) · [🏛️**Ministry of Agriculture and Rural Affairs** Beijing · China 2026 · 1 paper*current*](https://ror.org/05ckt8b96) · [🎓**Zhejiang A & F University** Lin’an Shi · China 2026 · 1 paper*current*](https://ror.org/02vj4rn06) · [🎓**Jiangsu University** Zhenjiang · China 2023–2024 · 3 papers](https://ror.org/03jc41j30) · [🎓**University of Science and Technology Beijing** Beijing · China 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-beijing/) · [🎓**Shijiazhuang Tiedao University** Shijiazhuang · China 2022–2023 · 3 papers](https://ror.org/022e9e065)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 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 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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/) · [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/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

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

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

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yanzhe-zhang/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/yanzhe-zhang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yanzhe-zhang/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/yanzhe-zhang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Best Practices and Lessons Learned on Synthetic Data](https://md.research.elamur.ai/free/en/papers/liu-2024-best-practices-lessons-learned-synthetic/)** *(2024 · 119 citations)* Strong AI systems need large, varied and clean datasets, but such data is often scarce, expensive to label, or restricted by privacy rules.
2. **[A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration](https://md.research.elamur.ai/free/en/papers/liu-2023-dynamic-llm-powered-agent-network/)** *(2023 · 114 citations)* Multi-agent systems built on large language models usually rely on a fixed set of agents and a communication pattern that is designed in advance.
3. **[LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding](https://md.research.elamur.ai/free/en/papers/zhang-2023-llavar-enhanced-visual-instruction-tuning/)** *(2023 · 98 citations)* Visual instruction-tuned assistants such as LLaVA learn mostly from natural photos, so they handle text inside images poorly.
4. **[Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering](https://md.research.elamur.ai/free/en/papers/si-2025-design2code-benchmarking-multimodal-code-generation/)** *(2025 · 37 citations)* The paper asks how well multimodal large language models (MLLMs) can turn a webpage screenshot into HTML/CSS code that renders the same page.
5. **[Attacking Vision-Language Computer Agents via Pop-ups](https://md.research.elamur.ai/free/en/papers/zhang-2025-attacking-vision-language-computer-agents/)** *(2025 · 32 citations)* The paper examines a simple but overlooked risk for computer-use agents built on vision-language models (VLMs): visible adversarial pop-ups that an experienced person would dismiss.
6. **[Distilling an End-to-End Voice Assistant Without Instruction Training Data](https://md.research.elamur.ai/free/en/papers/held-2025-distilling-end-end-voice-assistant/)** *(2025 · 18 citations)* End-to-end Speech LLMs are usually built with supervised finetuning on speech instruction data. That data is scarce, often recorded by few speakers, and the resulting models tend to lose abilities inherited from their text-only backbone. The authors propose the Distilled Voice Assistant (DiVA), which needs no…
7. **[SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-speechllm-as-judges-general-interpretable/)** *(2026 · 3 citations)* Judging how good synthetic speech sounds is still difficult. Common tools such as MOS ratings, A/B tests, or MCD produce a single number or a binary choice, which explains nothing about the judgment. Learned predictors such as UTMOS are usually limited to one task and one language. The authors propose…

## All works

14 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

1. [**Best Practices and Lessons Learned on Synthetic Data arXiv:2404.07503**Ruibo Liu, Jerry Wei, Fangyu Liu, et al.*2024 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-best-practices-lessons-learned-synthetic/)
2. [**A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration arXiv:2310.02170**Zijun Liu, Yanzhe Zhang, Peng Li, et al.*2023 · 114 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-dynamic-llm-powered-agent-network/)
3. **[Continual Learning for Text Classification with Information Disentanglement Based Regularization ↗](https://aclanthology.org/2021.naacl-main.218/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Yufan Huang et al.*2021 · 110 citations*
4. [**LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding arXiv:2306.17107**Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, et al.*2023 · 98 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-llavar-enhanced-visual-instruction-tuning/)
5. **[Continual Sequence Generation with Adaptive Compositional Modules ↗](https://aclanthology.org/2022.acl-long.255/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yanzhe Zhang, Xuezhi Wang, Diyi Yang*2022 · 43 citations*
6. **[Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints ↗](https://aclanthology.org/2023.findings-eacl.148/) Findings of the Association for Computational Linguistics: EACL 2023 · no summary yet**Albert Lu et al.*2023 · 41 citations*
7. **[Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering](https://md.research.elamur.ai/free/en/papers/si-2025-design2code-benchmarking-multimodal-code-generation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chenglei Si, Yanzhe Zhang, Ryan Li, et al.*2025 · 37 citations*
8. **[Attacking Vision-Language Computer Agents via Pop-ups](https://md.research.elamur.ai/free/en/papers/zhang-2025-attacking-vision-language-computer-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yanzhe Zhang, Tao Yu, Diyi Yang*2025 · 32 citations*
9. **[Distilling an End-to-End Voice Assistant Without Instruction Training Data](https://md.research.elamur.ai/free/en/papers/held-2025-distilling-end-end-voice-assistant/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**William Held, Yanzhe Zhang, Minzhi Li, et al.*2025 · 18 citations*
10. **[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*
11. **[Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition ↗](https://aclanthology.org/2022.findings-acl.154/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Aaron Reich et al.*2022 · 9 citations*
12. **[SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-speechllm-as-judges-general-interpretable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hui Wang, Jinghua Zhao, Yifan Yang, et al.*2026 · 3 citations*
13. **[Sherpa: Teaching LLMs to Teach Adaptively ↗](https://arxiv.org/abs/2610.08778) arXiv (Cornell University) · no summary yet**Weixian Xu et al.*2026*
14. **[Real-Time Reasoning Agents in Evolving Environments ↗](https://arxiv.org/abs/2511.04898) arXiv (Cornell University) · no summary yet**Wen, Yule et al.*2025*

## Co-authors here

12 of 33 co-authors with a page, the most papers together first.

- [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/) ×6
- [Chenglei Si](https://md.research.elamur.ai/free/en/authors/chenglei-si/) ×2
- [Ruibo Liu](https://md.research.elamur.ai/free/en/authors/ruibo-liu/) ×2
- [Andrew M. Dai](https://md.research.elamur.ai/free/en/authors/andrew-m-dai/)
- [Daiyi Peng](https://md.research.elamur.ai/free/en/authors/daiyi-peng/)
- [Denny Zhou](https://md.research.elamur.ai/free/en/authors/denny-zhou/)
- [Fangyu Liu](https://md.research.elamur.ai/free/en/authors/fangyu-liu/)
- [Haoqin Sun](https://md.research.elamur.ai/free/en/authors/haoqin-sun/)
- [Hui Wang](https://md.research.elamur.ai/free/en/authors/hui-wang/)
- [Jerry Wei](https://md.research.elamur.ai/free/en/authors/jerry-wei/)
- [Jiaming Zhou](https://md.research.elamur.ai/free/en/authors/jiaming-zhou/)
- [Jinghua Zhao](https://md.research.elamur.ai/free/en/authors/jinghua-zhao/)

## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/)
- Findings of the Association for Computational Linguistics: ACL 2022
- Findings of the Association for Computational Linguistics: EACL 2023
- Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

## Cited by

Papers of our library cite their works 421 times (of the 149,439 papers whose bibliographies we read); [130 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yanzhe-zhang/cited-by/).

Updated 2 November 2026