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Minghao Liu

Minghao Liu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Kaijing Ma, Yifan Yao, Chenchen Zhang.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 3 · 14 works · 68 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 170 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7915

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

🎓Chinese Academy of Medical Sciences & Peking Union Medical CollegeBeijing · China2024–2025 · 3 papers🏥Fu Wai HospitalBeijing · China2024–2025 · 3 papers🎓Hong Kong University of Science and TechnologyHong Kong · China2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workComputational Theory and Mathematics · 1 work

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines (2025 · 89 citations)
    Popular LLM benchmarks such as MMLU, GPQA and MMLU-Pro focus on a small set of mainstream subjects, and top models now score close to their ceiling on them.
  2. CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization (2026 · 12 citations)
    Turning informal math problems into Lean 4 theorem statements often produces code that compiles but does not mean what the original problem says.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. SuperGPQA: Scaling LLM Evaluation across 285 Graduate DisciplinesarXiv:2502.14739M-A-P Team, Xinrun Du, Yifan Yao, et al.2025 · 89 citations
  2. MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series ↗arXiv:2405.19327 · no summary yetGe Zhang et al.2024 · 44 citations
  3. FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models ↗arXiv:2505.02735 · no summary yetZhouliang Yu et al.2025 · 31 citations
  4. CriticLean: Critic-Guided Reinforcement Learning for Mathematical FormalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongyuan Peng, Yifan Yao, Kaijing Ma, et al.2026 · 12 citations

 Co-authors here

12 of 13 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 170 times (of the 149,439 papers whose bibliographies we read); 68 citing papers with a page here →.

Updated

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