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Xinyu Guan

Xinyu Guan has 2 papers in our library, in 2025, most of them on Reasoning, Language models & pretraining; often with Li Lyna Zhang, Ning Shang, Yi Zhu.

2 papers in our library · 2025

OpenAlex · ORCID · Wikidata · h-index 4 · 11 works · 61 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 144 times in our library · ⭐ Paper Stars ranking: #7087

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

🏢Alibaba GroupHangzhou · China2026 · 1 papercurrent

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksMathematics · 2 worksApplied Mathematics · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking (2025 · 146 citations)
    Most math-reasoning LLMs learn from chain-of-thought data distilled from a stronger teacher such as GPT-4.
  2. rStar2-Agent: Agentic Reasoning Technical Report (2025 · 6 citations)
    Long chain-of-thought reasoning helps LLMs on hard math, but models that rely only on internal self-checking often miss subtle mistakes.

 Co-authors here

10 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 144 times (of the 149,439 papers whose bibliographies we read); 46 citing papers with a page here →.

Updated

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