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Minghe Yu

Minghe Yu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Ge Yu, Yu Gu, Yukun Yan.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 11 · 52 works · 478 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11616

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

🎓Northeastern UniversityShenyang · China2011–2026 · 32 paperscurrent🎓Northeastern UniversityBoston · United States2024–2026 · 4 paperscurrent🎓Tsinghua UniversityBeijing · China2014–2016 · 6 papers🏛️Chinese Academy of SciencesBeijing · China2019–2020 · 3 papers🔬Institute of Computing TechnologyBeijing · China2019–2020 · 3 papers🔬Key Laboratory of Popular Type of High-performance Computer of Guangdong ProvinceShenzhen · China2019–2020 · 3 papers🎓Shenzhen UniversityShenzhen · China2019–2020 · 3 papers🎓University of Chinese Academy of SciencesBeijing · China2019 · 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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection (2026 · 1 citation)
    Distilling long Chain-of-Thought (CoT) traces from strong reasoning models into small models often works poorly.
  2. Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling (2026)
    LLM-based evaluators ("LLM-as-a-Judge") tend to rate their own outputs, or outputs resembling their style, more favorably.

 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 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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