Elamur Research⌕
☰
home / authors / Xuanbo Fan

Xuanbo Fan

Xuanbo Fan has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Information retrieval & search; often with Yan Zhang, Boci Peng, Fei Huang.

2 papers in our library · 2025–2026

OpenAlex · h-index 1 · 15 works · 5 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 50 times in our library · ⭐ Paper Stars ranking: #7809

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

🎓Peking UniversityBeijing · China2025–2026 · 8 paperscurrent

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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 workPhysics and Astronomy · 1 workStatistical and Nonlinear Physics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ZeroSearch: Incentivize the Search Capability of LLMs without Searching (2025 · 50 citations)
    Training LLM agents to use web search through reinforcement learning usually means querying a live engine during rollouts.
  2. COSMOS: Connectivity-Oriented Submodular Maximization for Optimal Subgraph Retrieval (2026)
    The paper tackles evidence retrieval for Knowledge Base Question Answering (KBQA), where an LLM needs a compact and connected set of knowledge-graph facts rather than isolated triplets. The authors identify weaknesses in three existing families of retrievers:

 Co-authors here

11 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 50 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

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