Tsinghua Tops ICLR 2026; Chinese Universities Claim Top Five, US Holds Strong Oral Share

The 2026 ICLR conference saw Chinese institutions contribute 5,000 papers—dominating the top five slots—with Tsinghua leading at 331, while U.S. labs secured 222 of the 4% oral papers, highlighting a robust American presence despite China's overall volume advantage.

SuanNi
SuanNi
SuanNi
Tsinghua Tops ICLR 2026; Chinese Universities Claim Top Five, US Holds Strong Oral Share

ICLR 2026 Paper Statistics

Chinese institutions contributed 5,000 papers (4,842 posters, 158 oral), accounting for roughly 40% of all poster papers and 30% of oral papers worldwide.

U.S. institutions contributed 3,785 papers; oral papers made up about 40% of their output and posters about 30%.

European institutions contributed 1,594 papers, and institutions from other regions contributed 2,192 papers.

Top Institutions by Total Papers

Tsinghua University leads with 331 papers (312 posters, 19 oral). It is followed by Shanghai Jiao Tong University, Peking University, Zhejiang University, and the Chinese Academy of Sciences – all Chinese institutions.

Oral Paper Distribution

Oral papers represent 4% of all accepted papers. U.S. institutions secured 222 oral papers (40.5% of the oral pool). Chinese institutions contributed 158 oral papers (28.8%). Europe and other regions contributed 85 and 84 oral papers respectively.

Among U.S. labs, Microsoft obtained 15 oral papers, Meta 14, MIT 13, Carnegie Mellon University 12, UC Berkeley 11, and Stanford 10.

Methodology

The ICLR 2026 figures use a stricter direct paper‑authorship attribution method, unlike the 2025 NeurIPS analysis that relied on author registration data from the OpenReview platform.

Chinese Institutional Composition

Universities and research institutes produced 3,754 papers (≈75.1% of Chinese output); companies produced 1,246 papers (≈24.9%).

Alibaba led Chinese companies with 137 papers (131 posters, 6 oral), Shanghai AI Lab followed with 130 papers, and ByteDance published 124 papers, including 13 oral papers.

Resource Concentration Trends

High‑impact AI research increasingly depends on massive compute, large datasets, dedicated engineering teams, and long‑term experimentation, concentrating resources in top universities, major corporate labs, and national platforms.

Global Landscape Beyond China and the U.S.

Active institutions also appear in Singapore, South Korea, Canada, Australia, Japan, and the United Arab Emirates. Europe’s core contributions come mainly from the United Kingdom and Switzerland; Singapore and South Korea’s output is comparable to the entire EU.

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Tsinghua UniversityAI conferencesICLR 2026academic trendsChina AI researchpaper statisticsUS AI research
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