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Mi Tian

Mi Tian has 2 papers in our library, in 2024–2025, most of them on Reasoning, Language models & pretraining; often with Tianqiao Liu, Weiqi Luo, Zitao Liu.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 7 · 31 works · 332 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #10761

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

🎓Nanjing Normal UniversityNanjing · China2021–2026 · 7 paperscurrent🎓Hubei Polytechnic UniversityHuangshi · China2024–2026 · 3 paperscurrent🎓Henan UniversityKaifeng · China2025–2026 · 2 paperscurrent🎓Hubei Normal UniversityHuangshi · China2026 · 1 papercurrent🎓Chinese University of Hong KongHong Kong · China2018–2019 · 5 papers🎓Dongbei University of Finance and EconomicsDalian · China2013–2014 · 2 papers🎓Wuhan UniversityWuhan · China2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 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

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning (2024 · 16 citations)
    Step-level reward models (SRMs) built from Monte Carlo Tree Search (MCTS) preference data reliably improve LLM mathematical reasoning, but it has been unclear what signal these models actually learn.
  2. Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages (2025 · 9 citations)
    Math-specific LLMs usually gain much more from supervised fine-tuning than from continued pre-training (CPT) on large math web corpora.

 Co-authors here

5 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 19 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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