🧑‍🔬 Adrian Weller

🏛️ Affiliations

🎓University of CambridgeCambridge · United Kingdom2015–2026 · 152 papersEmployment since 2015 · Principal Research Fellow, Engineeringcurrent🔬The Alan Turing InstituteLondon · United Kingdom2017–2026 · 98 paperscurrent🎓Columbia UniversityNew York · United States2009–2024 · 9 papers🔬Turing InstituteGlasgow · United Kingdom2017–2019 · 4 papers🔬Max Planck SocietyMunich · Germany2016–2017 · 4 papers🏢GoogleMountain View · United States2020–2024 · 2 papers🎓Huazhong University of Science and TechnologyWuhan · China2021–2022 · 2 papers🏥Wuhan Union HospitalWuhan · China2021–2022 · 2 papers🔬Max Planck Institute for Software SystemsSaarbrücken · Germany2016–2017 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models (2023 · 565 citations)
   Open-source LLMs such as LLaMA-2 lag well behind closed models on multi-step maths word problems. Fine-tuning helps, but it depends on having enough varied training questions. MetaMath addresses this by growing the GSM8K and MATH training sets from the question side as well as the answer side, producing a dataset…
2. On Benchmarking Human-Like Intelligence in Machines (2025 · 7 citations)
   This perspective paper argues that widely used AI benchmarks cannot reliably show whether a model reasons in a human-like way.

All works

6 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. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsarXiv:2309.12284Longhui Yu, Weisen Jiang, Han Shi, et al.2023 · 565 citations
2. Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty ↗Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yetUmang Bhatt et al.2021 · 248 citations
3. Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning ↗International Joint Conference on Artificial Intelligence · no summary yetRowan McAllister et al.2017 · 237 citations
4. Evaluating and Aggregating Feature-based Model Explanations ↗International Joint Conference on Artificial Intelligence · no summary yetUmang Bhatt, Adrian Weller, José M. F. Moura2020 · 179 citations
5. PolyViT: Co-training Vision Transformers on Images, Videos and Audio ↗arXiv (Cornell University) · no summary yetValerii Likhosherstov et al.2021 · 10 citations
6. On Benchmarking Human-Like Intelligence in MachinesOpen MindLance Ying, Katherine M. Collins, Lionel Wong, et al.2025 · 7 citations

🤝 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

• Han Shi
• Ilia Sucholutsky
• James Tin-Yau Kwok
• Jincheng Yu
• Joshua B. Tenenbaum
• Katherine M. Collins
• Lionel Wong
• Longhui Yu
• Ryan Liu
• Thomas L. Griffiths
• Tianmin Shu
• Weisen Jiang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• International Joint Conference on Artificial Intelligence ×2
• Open Mind: Open Mind 2025
• Proceedings of the AAAI/ACM Conference on AI Ethics and Society

🔗 Cited by

Papers of our library cite their works 1,031 times (of the 149,439 papers whose bibliographies we read); 321 citing papers with a page here →.

Updated 3 November 2026

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