--- title: "Xiaolong Wei — author profile and papers — Elamur Research" description: "Xiaolong Wei, Ministry of Education of the People's Republic of China: 2 papers on Elamur Research (2025–2026), h-index 3 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/xiaolong-wei/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaolong-wei/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiaolong Wei # Xiaolong Wei Xiaolong Wei has 2 papers in our library, in 2025–2026; often with [Long Xia](https://md.research.elamur.ai/free/en/authors/long-xia/), [Xingyu Zhang](https://md.research.elamur.ai/free/en/authors/xingyu-zhang/), [Zhejun Zhao](https://md.research.elamur.ai/free/en/authors/zhejun-zhao/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5101617593) · [ORCID](https://orcid.org/0000-0002-6905-087X) · [**h-index 3**](https://openalex.org/authors/A5101617593) · [16 works](https://openalex.org/works?filter=author.id:A5101617593) · [67 citations](https://openalex.org/works?filter=author.id:A5101617593&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiaolong-wei/#papers) · [🔗 Cited 10 times in our library](https://md.research.elamur.ai/free/en/authors/xiaolong-wei/cited-by/) · [⭐ Paper Stars ranking: #9849](https://md.research.elamur.ai/free/en/paper-stars/page/99/#star-9849) 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=Xiaolong+Wei) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiaolong+Wei) · [dblp](https://dblp.org/search?q=Xiaolong+Wei) · [ACL Anthology](https://aclanthology.org/search/?q=Xiaolong+Wei) ## Affiliations [🎓**Beihang University** Beijing · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🏛️**Ministry of Education of the People's Republic of China** Beijing · China 2026 · 1 paper*current*](https://ror.org/01mv9t934) · [🎓**Communication University of China** Beijing · China 2020–2024 · 7 papers](https://ror.org/04facbs33) · [🔬**State Key Laboratory of Media Convergence and Communication** Beijing 2020–2024 · 7 papers](https://ror.org/0595ys057) · [🔬**Institute of Disaster Prevention** Sanhe Shi · China 2025 · 2 papers](https://ror.org/00pyv1r78) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaolong-wei/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaolong-wei/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards](https://md.research.elamur.ai/free/en/papers/wei-2025-igniting-creative-writing-small-language/)** *(2025 · 10 citations)* Large LLMs write creative text well but are costly to serve at high request volumes. The authors therefore ask how a compact model can reach similar creativity without expensive human preference labels. In an RLAIF setup, they train Qwen2.5 7B with GRPO to write Chinese greetings and compare two sources of AI reward. 2. **[UniCreative: Unifying Long-form Logic and Short-form Sparkle via Reference-Free Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wei-2026-unicreative-unifying-long-form-logic/)** *(2026 · 1 citation)* LLM creative writing faces two opposite problems. Long stories and scripts need global planning, or they drift off topic, repeat themselves and lose structure. Short pieces such as poems, slogans or blessings get worse when forced through rigid outlines, and models already tend toward bland, high-probability wording.… ## Co-authors here 8 co-authors with a page, the most papers together first. - [Long Xia](https://md.research.elamur.ai/free/en/authors/long-xia/) ×2 - [Xingyu Zhang](https://md.research.elamur.ai/free/en/authors/xingyu-zhang/) ×2 - [Zhejun Zhao](https://md.research.elamur.ai/free/en/authors/zhejun-zhao/) ×2 - [Daiting Shi](https://md.research.elamur.ai/free/en/authors/daiting-shi/) - [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/) - [Peiying Yu](https://md.research.elamur.ai/free/en/authors/peiying-yu/) - [Simin Niu](https://md.research.elamur.ai/free/en/authors/simin-niu/) - [Yuchen Li](https://md.research.elamur.ai/free/en/authors/yuchen-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [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 10 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaolong-wei/cited-by/). Updated 1 November 2026