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Xuan He

Xuan He has 2 papers in our library, in 2024, most of them on Language models & pretraining, Evaluation & benchmarks; often with Max Ku, Cong Wei, Dongfu Jiang.

2 papers in our library · 2024

OpenAlex · ORCID · h-index 12 · 33 works · 502 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 711 times in our library · ⭐ Paper Stars ranking: #3061

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

🎓Central South UniversityChangsha · China2017–2022 · 14 papers🔬State Key Laboratory of Powder MetallurgyChangsha2017–2019 · 4 papers🎓Tsinghua UniversityBeijing · China2025 · 2 papers🎓Xihua UniversityChengdu · China2025 · 2 papers🎓Jiangxi University of Science and TechnologyGanzhou · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksMathematics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workReasoning · 1 workLanguage models & pretraining · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Natural language understanding · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark (2024 · 761 citations)
    MMLU had become saturated as a benchmark. Frontier LLMs all clustered around 86–87%, scores shifted noticeably when the prompt changed, and part of the data was noisy or wrongly labelled. The authors built MMLU-Pro to give the field a harder test that separates models better.
  2. MANTIS: Interleaved Multi-Image Instruction Tuning (2024 · 74 citations)
    Most open large multimodal models (LMMs) handle one image well but struggle when a task involves several images.

 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 711 times (of the 149,439 papers whose bibliographies we read); 233 citing papers with a page here →.

Updated

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