--- title: "Jinyang Zhang — author profile and papers — Elamur Research" description: "Jinyang Zhang: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jinyang-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jinyang-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jinyang Zhang # Jinyang Zhang Jinyang Zhang has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/), [Hongxin Ding](https://md.research.elamur.ai/free/en/authors/hongxin-ding/), [Junbo Zhao](https://md.research.elamur.ai/free/en/authors/junbo-zhao/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139771791) · [**h-index 0**](https://openalex.org/authors/A5139771791) · [1 works](https://openalex.org/works?filter=author.id:A5139771791) · [0 citations](https://openalex.org/works?filter=author.id:A5139771791&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jinyang-zhang/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/jinyang-zhang/cited-by/) · [⭐ Paper Stars ranking: #11999](https://md.research.elamur.ai/free/en/paper-stars/page/120/#star-11999) 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+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jinyang+Zhang) · [dblp](https://dblp.org/search?q=Jinyang+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Jinyang+Zhang) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 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/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 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** 2 papers](https://md.research.elamur.ai/free/en/authors/jinyang-zhang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs](https://md.research.elamur.ai/free/en/papers/ding-2026-promed-shapley-information-gain-guided/)** *(2026 · 4 citations)* Most medical LLMs answer straight away from the patient's first description. When that description is incomplete, this can produce misdiagnoses. ProMed is a reinforcement learning framework that trains models to ask follow-up questions and collect missing clinical details before giving an answer. Its core is the… 2. **[HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs](https://md.research.elamur.ai/free/en/papers/peng-2026-hss-synth-humanities-social-sciences/)** *(2026)* Synthetic training data for LLMs has worked well in domains with checkable answers, such as math and code. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/) - [Hongxin Ding](https://md.research.elamur.ai/free/en/authors/hongxin-ding/) - [Junbo Zhao](https://md.research.elamur.ai/free/en/authors/junbo-zhao/) - [Junfeng Zhao](https://md.research.elamur.ai/free/en/authors/junfeng-zhao/) - [Junyang Lin](https://md.research.elamur.ai/free/en/authors/junyang-lin/) - [Tianyu Zhao](https://md.research.elamur.ai/free/en/authors/tianyu-zhao/) - [Xinke Jiang](https://md.research.elamur.ai/free/en/authors/xinke-jiang/) - [Yasha Wang](https://md.research.elamur.ai/free/en/authors/yasha-wang/) - [Yawen Zeng](https://md.research.elamur.ai/free/en/authors/yawen-zeng/) - [Yinghao Zhu](https://md.research.elamur.ai/free/en/authors/yinghao-zhu/) - [Yue Fang](https://md.research.elamur.ai/free/en/authors/yue-fang/) - [Zheng Li](https://md.research.elamur.ai/free/en/authors/zheng-li/) ## 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/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 4 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-zhang/cited-by/). Updated 2 November 2026