--- title: "Daoxin Zhang — author profile and papers — Elamur Research" description: "Daoxin Zhang, Xiaohongshu (Little Red Book): 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/daoxin-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/daoxin-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Daoxin Zhang # Daoxin Zhang Daoxin 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Weiming Lu](https://md.research.elamur.ai/free/en/authors/weiming-lu/), [Yao Hu](https://md.research.elamur.ai/free/en/authors/yao-hu/), [Yongliang Shen](https://md.research.elamur.ai/free/en/authors/yongliang-shen/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139827410) · [**h-index 0**](https://openalex.org/authors/A5139827410) · [2 works](https://openalex.org/works?filter=author.id:A5139827410) · [0 citations](https://openalex.org/works?filter=author.id:A5139827410&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/daoxin-zhang/#papers) · [⭐ Paper Stars ranking: #11941](https://md.research.elamur.ai/free/en/paper-stars/page/120/#star-11941) 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=Daoxin+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daoxin+Zhang) · [dblp](https://dblp.org/search?q=Daoxin+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Daoxin+Zhang) ## Affiliations [🏢**Xiaohongshu (Little Red Book)** Shanghai · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/xiaohongshu-little-red-book/) 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 6 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 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** 2 papers](https://md.research.elamur.ai/free/en/authors/daoxin-zhang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-leveraging-outline-optimized-generative-interactions/)** *(2026)* Small language models struggle to produce hierarchical outlines for Wikipedia-style expository articles. Their outlines tend to skip levels, omit important branches and distribute depth poorly. Existing remedies such as STORM, OmniThink or RAPID rely on costly multi-turn LLM interaction or fixed refinement… 2. **[Pause or Fabricate? Training Language Models for Grounded Reasoning](https://md.research.elamur.ai/free/en/papers/qiu-2026-pause-or-fabricate-training-language/)** *(2026)* The paper examines a failure mode the authors call ungrounded reasoning. When a question lacks a needed fact, a language model often notices the gap early but then invents a value and reasons confidently to a wrong answer. The authors argue that the cause is weak awareness of when valid inference is possible, not… ## Co-authors here 12 co-authors with a page, the most papers together first. - [Weiming Lu](https://md.research.elamur.ai/free/en/authors/weiming-lu/) ×2 - [Yao Hu](https://md.research.elamur.ai/free/en/authors/yao-hu/) ×2 - [Yongliang Shen](https://md.research.elamur.ai/free/en/authors/yongliang-shen/) ×2 - [Hengwei Liu](https://md.research.elamur.ai/free/en/authors/hengwei-liu/) - [Jin Ma](https://md.research.elamur.ai/free/en/authors/jin-ma/) - [Jun Xiao](https://md.research.elamur.ai/free/en/authors/jun-xiao/) - [Linjuan Wu](https://md.research.elamur.ai/free/en/authors/linjuan-wu/) - [Qingqing Lyu](https://md.research.elamur.ai/free/en/authors/qingqing-lyu/) - [Wenqi Zhang](https://md.research.elamur.ai/free/en/authors/wenqi-zhang/) - [Xu Tan](https://md.research.elamur.ai/free/en/authors/xu-tan/) - [Yin Zhang](https://md.research.elamur.ai/free/en/authors/yin-zhang/) - [Yuchen Yan](https://md.research.elamur.ai/free/en/authors/yuchen-yan/) ## 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/) Updated 1 November 2026