--- title: "Boyan Gao · University of Oxford — author profile and papers" description: "Boyan Gao, University of Oxford: 2 papers on Elamur Research (2024–2026), h-index 0 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/boyan-gao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/boyan-gao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Boyan Gao # Boyan Gao Boyan Gao has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Bo-Wen Zhang](https://md.research.elamur.ai/free/en/authors/bo-wen-zhang/), [Guang Liu](https://md.research.elamur.ai/free/en/authors/guang-liu/), [Haokun Lin](https://md.research.elamur.ai/free/en/authors/haokun-lin/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5133099980) · [**h-index 0**](https://openalex.org/authors/A5133099980) · [7 works](https://openalex.org/works?filter=author.id:A5133099980) · [0 citations](https://openalex.org/works?filter=author.id:A5133099980&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/boyan-gao/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #12866](https://md.research.elamur.ai/free/en/paper-stars/page/129/#star-12866) 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=Boyan+Gao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Boyan+Gao) · [dblp](https://dblp.org/search?q=Boyan+Gao) · [ACL Anthology](https://aclanthology.org/search/?q=Boyan+Gao) ## Affiliations [🎓**University of Oxford** Oxford · United Kingdom 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) 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. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [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/boyan-gao/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/boyan-gao/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Aquila2 Technical Report](https://md.research.elamur.ai/free/en/papers/zhang-2024-aquila2-technical-report/)** *(2024 · 1 citation)* Most LLMs are pretrained on a fixed dataset over a long run, so it is hard to change the data mix or add new sources partway through. BAAI's Aquila2 is a family of Chinese–English bilingual models at 7B, 34B and an experimental 70B size. They were trained with HeuriMentor (HM), a framework with three parts: 2. **[EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models](https://md.research.elamur.ai/free/en/papers/xing-2026-efficientllm-unified-pruning-aware-pretraining/)** *(2026)* Small language models meant for phones and other edge devices are usually trained from scratch. Their quality is then limited by parameter scaling laws, while standard compression of a large model loses a lot of accuracy because pruning uses only a small calibration set. The authors present EfficientLLM, a framework… ## Co-authors here 10 co-authors with a page, the most papers together first. - [Bo-Wen Zhang](https://md.research.elamur.ai/free/en/authors/bo-wen-zhang/) - [Guang Liu](https://md.research.elamur.ai/free/en/authors/guang-liu/) - [Haokun Lin](https://md.research.elamur.ai/free/en/authors/haokun-lin/) - [Jiajun Zhang](https://md.research.elamur.ai/free/en/authors/jiajun-zhang/) - [Liangdong Wang](https://md.research.elamur.ai/free/en/authors/liangdong-wang/) - [Shitao Xiao](https://md.research.elamur.ai/free/en/authors/shitao-xiao/) - [Shuhao Gu](https://md.research.elamur.ai/free/en/authors/shuhao-gu/) - [Yiming Liang](https://md.research.elamur.ai/free/en/authors/yiming-liang/) - [Yulong Ao](https://md.research.elamur.ai/free/en/authors/yulong-ao/) - [Zheng Liu](https://md.research.elamur.ai/free/en/authors/zheng-liu/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 2 November 2026