Elamur Research⌕
☰
home / authors / Xun Wu

Xun Wu

Xun Wu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Efficient models & compression; often with Furu Wei, Li Dong, Shaohan Huang.

2 papers in our library · 2026

OpenAlex · h-index 1 · 16 works · 11 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 37 times in our library · ⭐ Paper Stars ranking: #10178

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢MicrosoftRedmond · United States2025–2026 · 7 paperscurrent🏢Microsoft ResearchCambridge · United Kingdom2025–2026 · 3 paperscurrent🏢Microsoft Research AsiaBeijing · China2024–2025 · 3 papers🎓Peking UniversityBeijing · China2025 · 2 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. On-Policy Context Distillation for 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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 37 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/xun-wu/