--- title: "Yong Zhao — author profile and papers — Elamur Research" description: "Yong Zhao: 2 papers on Elamur Research (2025–2026) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yong-zhao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yong-zhao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yong Zhao # Yong Zhao Yong Zhao has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chen Gao](https://md.research.elamur.ai/free/en/authors/chen-gao/), [Moxin Li](https://md.research.elamur.ai/free/en/authors/moxin-li/), [Quanjun Yin](https://md.research.elamur.ai/free/en/authors/quanjun-yin/). 2 papers in our library · 2025–2026 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yong-zhao/#papers) · [🔗 Cited 19 times in our library](https://md.research.elamur.ai/free/en/authors/yong-zhao/cited-by/) · [⭐ Paper Stars ranking: #9691](https://md.research.elamur.ai/free/en/paper-stars/page/97/#star-9691) 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=Yong+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yong+Zhao) · [dblp](https://dblp.org/search?q=Yong+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Yong+Zhao) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yong-zhao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yong-zhao/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Knowledge Boundary of Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/li-2025-knowledge-boundary-large-language-models/)** *(2025 · 30 citations)* Large language models store a great deal of knowledge in their weights, but they still fail to recall or apply some of it. 2. **[Learn to Relax with Large Language Models: Solving Constraint Optimization Problems via Bidirectional Coevolution](https://md.research.elamur.ai/free/en/papers/liu-2026-learn-relax-large-language-models/)** *(2026)* Real-world constraint optimization problems (COPs) are often NP-hard. Hard constraints split the feasible region into fragments, so LLM-driven algorithm-design systems such as EoH, ReEvo and FunSearch get little useful feedback once feasible solutions become rare. The authors propose AutoCO, which makes the LLM an… ## Co-authors here 10 co-authors with a page, the most papers together first. - [Chen Gao](https://md.research.elamur.ai/free/en/authors/chen-gao/) - [Moxin Li](https://md.research.elamur.ai/free/en/authors/moxin-li/) - [Quanjun Yin](https://md.research.elamur.ai/free/en/authors/quanjun-yin/) - [See-Kiong Ng](https://md.research.elamur.ai/free/en/authors/see-kiong-ng/) - [Shuaiyi Li](https://md.research.elamur.ai/free/en/authors/shuaiyi-li/) - [Tat-Seng Chua](https://md.research.elamur.ai/free/en/authors/tat-seng-chua/) - [Wenxuan Zhang](https://md.research.elamur.ai/free/en/authors/wenxuan-zhang/) - [Wenya Xie](https://md.research.elamur.ai/free/en/authors/wenya-xie/) - [Yang Deng](https://md.research.elamur.ai/free/en/authors/yang-deng/) - [Zhengqiu Zhu](https://md.research.elamur.ai/free/en/authors/zhengqiu-zhu/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 19 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yong-zhao/cited-by/). Updated 1 November 2026