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Zhangren Chen

Zhangren Chen has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning; often with Ermo Hua, Kaiyan Zhang, Ning Ding.

2 papers in our library · 2024–2025

OpenAlex · h-index 5 · 12 works · 76 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 122 times in our library · ⭐ Paper Stars ranking: #9114

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

🏥First Affiliated Hospital of Jiangxi Medical CollegeNanchang · China2026 · 1 papercurrent🎓Nanchang UniversityNanchang · China2026 · 1 papercurrent🏥First Affiliated Hospital of Nanchang UniversityNanchang · China2020–2024 · 7 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 10The field of science this work belongs to (OpenAlex fields).Biochemistry, Genetics and Molecular Biology · 2 worksMolecular Biology · 2 worksComputer Science · 1 workComputer Vision and Pattern Recognition · 1 workHealth Informatics · 1 workMedicine · 1 workChemistry · 1 workDecision Sciences · 1 workInformation Systems and Management · 1 workSpectroscopy · 1 work

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

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding (2025 · 65 citations)
    Popular medical QA benchmarks such as MedQA and MMLU (Medical) no longer challenge frontier models. o1-preview reportedly reaches 96% on MedQA-USMLE. Multimodal sets like VQA-Rad or PMC-VQA mostly contain simple caption-derived questions without clinical context. MedXpertQA addresses both gaps. This multiple-choice…
  2. Automating Exploratory Proteomics Research via Language Models (2024 · 6 citations)
    Proteomics studies produce large, complex datasets, but turning them into biological insight still depends on experts who choose analyses by hand.

 Co-authors here

9 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 122 times (of the 149,439 papers whose bibliographies we read); 50 citing papers with a page here →.

Updated

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