---
title: "Ilia Shumailov · University of Oxford — author profile and papers"
description: "Ilia Shumailov, University of Oxford: 2 papers on Elamur Research (2023–2024), h-index 16 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/ilia-shumailov/"
---
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# Ilia Shumailov

Ilia Shumailov has 2 papers in our library, in 2023–2024; often with [Nicolas Papernot](https://md.research.elamur.ai/free/en/authors/nicolas-papernot/), [Ross Anderson](https://md.research.elamur.ai/free/en/authors/ross-anderson/), [Yarin Gal](https://md.research.elamur.ai/free/en/authors/yarin-gal/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5069844959) · [ORCID](https://orcid.org/0000-0003-3100-0727) · [Wikidata](https://www.wikidata.org/wiki/Q130861512) · [**h-index 16**](https://openalex.org/authors/A5069844959) · [103 works](https://openalex.org/works?filter=author.id:A5069844959) · [1,761 citations](https://openalex.org/works?filter=author.id:A5069844959&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ilia-shumailov/#papers) · [🔗 Cited 222 times in our library](https://md.research.elamur.ai/free/en/authors/ilia-shumailov/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2500](https://md.research.elamur.ai/free/en/paper-stars/page/25/#star-2500)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ilia+Shumailov) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ilia+Shumailov) · [dblp](https://dblp.org/search?q=Ilia+Shumailov) · [ACL Anthology](https://aclanthology.org/search/?q=Ilia+Shumailov)

## Affiliations

[🎓**University of Oxford** Oxford · United Kingdom 2022–2026 · 23 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🏢**Google DeepMind** London · United Kingdom 2024–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2017–2025 · 26 papers](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🔬**Vector Institute** Toronto · Canada 2021–2023 · 11 papers](https://md.research.elamur.ai/free/en/labs/vector-institute/) · [🎓**University of Toronto** Toronto · Canada 2021–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🏢**Google** Mountain View · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Imperial College London** London · United Kingdom 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/imperial-college-london/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 9 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/ilia-shumailov/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/ilia-shumailov/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[AI models collapse when trained on recursively generated data](https://md.research.elamur.ai/free/en/papers/shumailov-2024-ai-models-collapse-trained-recursively/)** *(2024 · 863 citations)* The paper examines what happens to generative models once their own outputs make up much of the web data used to train their successors.
2. **[The Curse of Recursion: Training on Generated Data Makes Models Forget](https://md.research.elamur.ai/free/en/papers/shumailov-2023-curse-recursion-training-generated-data/)** *(2023 · 255 citations)* Generative models are increasingly filling the web with text and images, so future models will likely be trained partly on their predecessors' output.

## All works

4 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. **[AI models collapse when trained on recursively generated data](https://md.research.elamur.ai/free/en/papers/shumailov-2024-ai-models-collapse-trained-recursively/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.*2024 · 863 citations*
2. [**The Curse of Recursion: Training on Generated Data Makes Models Forget arXiv:2305.17493**Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.*2023 · 255 citations*](https://md.research.elamur.ai/free/en/papers/shumailov-2023-curse-recursion-training-generated-data/)
3. **[Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research ↗](https://doi.org/10.52202/085713-2990) neural information processing systems · no summary yet**A. Feder Cooper et al.*2025 · 17 citations*
4. **[Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice ↗](https://doi.org/10.2139/ssrn.5060253) SSRN Electronic Journal · no summary yet**A. Feder Cooper et al.*2025 · 12 citations*

## Co-authors here

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

- [Nicolas Papernot](https://md.research.elamur.ai/free/en/authors/nicolas-papernot/) ×2
- [Ross Anderson](https://md.research.elamur.ai/free/en/authors/ross-anderson/) ×2
- [Yarin Gal](https://md.research.elamur.ai/free/en/authors/yarin-gal/) ×2
- [Yiren Zhao](https://md.research.elamur.ai/free/en/authors/yiren-zhao/) ×2
- [Zakhar Shumaylov](https://md.research.elamur.ai/free/en/authors/zakhar-shumaylov/) ×2

## Venues

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

- [Nature](https://md.research.elamur.ai/free/en/venues/nature/): [Nature 2024](https://md.research.elamur.ai/free/en/venues/nature/2024/)
- SSRN Electronic Journal
- neural information processing systems

## Cited by

Papers of our library cite their works 222 times (of the 149,439 papers whose bibliographies we read); [60 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ilia-shumailov/cited-by/).

Updated 2 November 2026
