--- title: "Jinyang Gao — author profile and papers — Elamur Research" description: "Jinyang Gao, Harbin Institute of Technology: 2 papers on Elamur Research (2025–2026), h-index 11 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/jinyang-gao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jinyang-gao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jinyang Gao # Jinyang Gao Jinyang Gao 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bolin Ding](https://md.research.elamur.ai/free/en/authors/bolin-ding/), [Bingbing Xu](https://md.research.elamur.ai/free/en/authors/bingbing-xu/), [Shuchang Tao](https://md.research.elamur.ai/free/en/authors/shuchang-tao/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5101403129) · [ORCID](https://orcid.org/0000-0002-2094-3554) · [**h-index 11**](https://openalex.org/authors/A5101403129) · [29 works](https://openalex.org/works?filter=author.id:A5101403129) · [1,133 citations](https://openalex.org/works?filter=author.id:A5101403129&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jinyang-gao/#papers) · [🔗 Cited 8 times in our library](https://md.research.elamur.ai/free/en/authors/jinyang-gao/cited-by/) · [⭐ Paper Stars ranking: #10151](https://md.research.elamur.ai/free/en/paper-stars/page/102/#star-10151) 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=Jinyang+Gao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jinyang+Gao) · [dblp](https://dblp.org/search?q=Jinyang+Gao) · [ACL Anthology](https://aclanthology.org/search/?q=Jinyang+Gao) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2020–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Harbin Institute of Technology** Harbin · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**National University of Singapore** Singapore · Singapore 2014–2015 · 2 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jinyang-gao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jinyang-gao/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Language Adaptation of Large Language Models: An Empirical Study on LLaMA2](https://md.research.elamur.ai/free/en/papers/wang-2025-language-adaptation-large-language-models/)** *(2025 · 7 citations)* Most large language models learn mainly from English text and handle other languages less well. Building a balanced multilingual model from scratch is too costly for most groups, so adapting an existing model is the practical alternative. Methods for transferring older models such as BERT across languages may not… 2. **[Incentivizing Strong Reasoning from Weak Supervision](https://md.research.elamur.ai/free/en/papers/yuan-2026-incentivizing-strong-reasoning-weak-supervision/)** *(2026 · 1 citation)* Improving LLM reasoning usually requires either reinforcement learning with verifiable rewards, which is compute-intensive, or SFT on long chain-of-thought (CoT) data from very strong teachers, which is costly to obtain. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Bolin Ding](https://md.research.elamur.ai/free/en/authors/bolin-ding/) ×2 - [Bingbing Xu](https://md.research.elamur.ai/free/en/authors/bingbing-xu/) - [Shuchang Tao](https://md.research.elamur.ai/free/en/authors/shuchang-tao/) - [Teng Xiao](https://md.research.elamur.ai/free/en/authors/teng-xiao/) - [Yige Yuan](https://md.research.elamur.ai/free/en/authors/yige-yuan/) - [Yuexiang Xie](https://md.research.elamur.ai/free/en/authors/yuexiang-xie/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) ## Cited by Papers of our library cite their works 8 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/jinyang-gao/cited-by/). Updated 1 November 2026