--- title: "Xun Wu — author profile and papers — Elamur Research" description: "Xun Wu, Microsoft: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xun-wu/" --- Elamur: [Mova](https://md.mova.elamur.ai/free/en/) · [Dictionary](https://md.dictionary.elamur.ai/free/en/) · **Research** · [Groupants](https://md.groupants.elamur.ai/free/en/) [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xun-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xun Wu # Xun Wu Xun Wu 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/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/), [Li Dong](https://md.research.elamur.ai/free/en/authors/li-dong/), [Shaohan Huang](https://md.research.elamur.ai/free/en/authors/shaohan-huang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5108923083) · [**h-index 1**](https://openalex.org/authors/A5108923083) · [16 works](https://openalex.org/works?filter=author.id:A5108923083) · [11 citations](https://openalex.org/works?filter=author.id:A5108923083&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xun-wu/#papers) · [🔗 Cited 37 times in our library](https://md.research.elamur.ai/free/en/authors/xun-wu/cited-by/) · [⭐ Paper Stars ranking: #10178](https://md.research.elamur.ai/free/en/paper-stars/page/102/#star-10178) 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=Xun+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xun+Wu) · [dblp](https://dblp.org/search?q=Xun+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Xun+Wu) ## Affiliations [🏢**Microsoft** Redmond · United States 2025–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Microsoft Research** Cambridge · United Kingdom 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft-research-united-kingdom/) · [🏢**Microsoft Research Asia** Beijing · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🎓**Peking University** Beijing · China 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) 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 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/) · [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/) 🧭 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** 2 papers](https://md.research.elamur.ai/free/en/authors/xun-wu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[On-Policy Context Distillation for Language Models](https://md.research.elamur.ai/free/en/papers/ye-2026-policy-context-distillation-language-models/)** *(2026 · 36 citations)* Prompts can supply a language model with instructions or lessons learned, but that knowledge vanishes when the context is cleared. 2. **[Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/zhang-2026-stable-effective-reinforcement-learning-mixture/)** *(2026 · 1 citation)* The paper addresses why reinforcement learning with verifiable rewards (RLVR) often breaks down when the policy is a Mixture-of-Experts (MoE) model, frequently ending in sudden reward collapse. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/) ×2 - [Li Dong](https://md.research.elamur.ai/free/en/authors/li-dong/) ×2 - [Shaohan Huang](https://md.research.elamur.ai/free/en/authors/shaohan-huang/) ×2 - [Di Zhang](https://md.research.elamur.ai/free/en/authors/di-zhang/) - [Lingjie Jiang](https://md.research.elamur.ai/free/en/authors/lingjie-jiang/) - [Tianzhu Ye](https://md.research.elamur.ai/free/en/authors/tianzhu-ye/) - [Yaru Hao](https://md.research.elamur.ai/free/en/authors/yaru-hao/) - [Zewen Chi](https://md.research.elamur.ai/free/en/authors/zewen-chi/) - [Zhifang Sui](https://md.research.elamur.ai/free/en/authors/zhifang-sui/) ## 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 37 times (of the 150,927 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xun-wu/cited-by/). Updated 3 November 2026