--- title: "Mark Rowland — author profile and papers — Elamur Research" description: "Mark Rowland, Google: 2 papers on Elamur Research (2023), h-index 18 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/mark-rowland/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mark-rowland/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mark Rowland # Mark Rowland Mark Rowland has 2 papers in our library, in 2023; often with [Daniele Calandriello](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/), [Michal Valko](https://md.research.elamur.ai/free/en/authors/michal-valko/), [Mohammad Gheshlaghi Azar](https://md.research.elamur.ai/free/en/authors/mohammad-gheshlaghi-azar/). 2 papers in our library · 2023 [OpenAlex](https://openalex.org/A5108379405) · [ORCID](https://orcid.org/0000-0002-8336-6352) · [Wikidata](https://www.wikidata.org/wiki/Q133308471) · [**h-index 18**](https://openalex.org/authors/A5108379405) · [66 works](https://openalex.org/works?filter=author.id:A5108379405) · [1,728 citations](https://openalex.org/works?filter=author.id:A5108379405&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/mark-rowland/#papers) · [🔗 Cited 280 times in our library](https://md.research.elamur.ai/free/en/authors/mark-rowland/cited-by/) · [⭐ Paper Stars ranking: #5772](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5772) 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=Mark+Rowland) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mark+Rowland) · [dblp](https://dblp.org/search?q=Mark+Rowland) · [ACL Anthology](https://aclanthology.org/search/?q=Mark+Rowland) ## Affiliations [🏢**Google** Mountain View · United States 2019–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Google DeepMind** London · United Kingdom 2018–2025 · 16 papersEmployment since 2018](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2015–2019 · 16 papersEducation until 2018](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**University of London** London · United Kingdom 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-london/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 6 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/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) · [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/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/mark-rowland/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[A General Theoretical Paradigm to Understand Learning from Human Preferences](https://md.research.elamur.ai/free/en/papers/azar-2023-general-theoretical-paradigm-understand-learning/)** *(2023 · 263 citations)* This paper by researchers at Google DeepMind provides a theoretical foundation for methods that train language models from human preferences. 2. **[Nash Learning from Human Feedback](https://md.research.elamur.ai/free/en/papers/munos-2023-nash-learning-human-feedback/)** *(2023 · 32 citations)* Standard RLHF reduces pairwise human judgments to a scalar reward, typically through a Bradley-Terry model, and then optimizes the LLM against that score. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Daniele Calandriello](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/) ×2 - [Michal Valko](https://md.research.elamur.ai/free/en/authors/michal-valko/) ×2 - [Mohammad Gheshlaghi Azar](https://md.research.elamur.ai/free/en/authors/mohammad-gheshlaghi-azar/) ×2 - [Rémi Munos](https://md.research.elamur.ai/free/en/authors/remi-munos/) ×2 - [Andrea Michi](https://md.research.elamur.ai/free/en/authors/andrea-michi/) - [Bilal Piot](https://md.research.elamur.ai/free/en/authors/bilal-piot/) - [Daniel Guo](https://md.research.elamur.ai/free/en/authors/daniel-guo/) - [Matthieu Geist](https://md.research.elamur.ai/free/en/authors/matthieu-geist/) - [Sertan Girgin](https://md.research.elamur.ai/free/en/authors/sertan-girgin/) ## Cited by Papers of our library cite their works 280 times (of the 149,439 papers whose bibliographies we read); [75 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mark-rowland/cited-by/). Updated 3 November 2026