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Minqi Jiang

Minqi Jiang has 2 papers in our library, in 2023–2025, most of them on Evaluation & benchmarks, Language models & pretraining; often with Bingchen Zhao, Despoina Magka, Roberta Raileanu.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 11 · 47 works · 944 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 277 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4091

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

🎓Shanghai University of Finance and EconomicsShanghai · China2023–2026 · 5 paperscurrent🎓University College LondonLondon · United Kingdom2020–2025 · 15 papers🎓China Jiliang UniversityHangzhou · China2019–2021 · 4 papers🏢MetaLondon · United Kingdom2020–2024 · 2 papers🏢MetaMenlo Park · United States2020–2021 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

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

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection (2023 · 555 citations)
    ChatGPT can produce fluent answers to almost any question, so researchers need ways to measure how far it is from human experts and to recognise text it generates.
  2. The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements (2025 · 4 citations)
    The paper asks whether current AI research agents can reproduce known results in LLM training, which is a prerequisite for automating scientific research.

All works

3 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. How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and DetectionarXiv:2301.07597Biyang Guo, Xin Zhang, Ziyuan Wang, et al.2023 · 555 citations
  2. ADBench: Anomaly Detection Benchmark ↗neural information processing systems · no summary yetSongqiao Han et al.2022 · 73 citations
  3. The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT ImprovementsConference on Neural Information Processing Systems (NeurIPS)Bingchen Zhao, Despoina Magka, Minqi Jiang, et al.2025 · 4 citations

 Co-authors here

8 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 277 times (of the 149,439 papers whose bibliographies we read); 64 citing papers with a page here →.

Updated

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