---
title: "Murray Shanahan — author profile and papers · Reasoning"
description: "Murray Shanahan, Google DeepMind: 2 papers on Elamur Research (2022–2023), h-index 48 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/murray-shanahan/"
---
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# Murray Shanahan

Murray Shanahan has 2 papers in our library, in 2022–2023, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Antonia Creswell](https://md.research.elamur.ai/free/en/authors/antonia-creswell/), [Kyle McDonell](https://md.research.elamur.ai/free/en/authors/kyle-mcdonell/), [Laria Reynolds](https://md.research.elamur.ai/free/en/authors/laria-reynolds/).

2 papers in our library · 2022–2023

[OpenAlex](https://openalex.org/A5072322524) · [ORCID](https://orcid.org/0000-0001-5984-2964) · [Wikidata](https://www.wikidata.org/wiki/Q23770411) · [**h-index 48**](https://openalex.org/authors/A5072322524) · [237 works](https://openalex.org/works?filter=author.id:A5072322524) · [9,499 citations](https://openalex.org/works?filter=author.id:A5072322524&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/murray-shanahan/#papers) · [🔗 Cited 249 times in our library](https://md.research.elamur.ai/free/en/authors/murray-shanahan/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3332](https://md.research.elamur.ai/free/en/paper-stars/page/34/#star-3332)

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=Murray+Shanahan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Murray+Shanahan) · [dblp](https://dblp.org/search?q=Murray+Shanahan) · [ACL Anthology](https://aclanthology.org/search/?q=Murray+Shanahan)

## Affiliations

[🎓**Imperial College London** London · United Kingdom 1981–2026 · 114 papersEducation 1981–1984 · BSc(Eng), Dept. of ComputingEmployment · Department of Computing*current*](https://md.research.elamur.ai/free/en/universities/imperial-college-london/) · [🏢**Google DeepMind** London · United Kingdom 2017–2026 · 17 papersEmployment since 2017*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**Queen Mary University of London** London · United Kingdom 1996–1997 · 4 papers](https://md.research.elamur.ai/free/en/universities/queen-mary-university-of-london/) · [🏢**Google** Mountain View · United States 2019–2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🔬**Institute of Philosophy** London · United Kingdom 2024 · 2 papers](https://ror.org/03rccdb17) · [🎓**School of Advanced Study** London · United Kingdom 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/school-of-advanced-study/) · [🎓**University of London** London · United Kingdom 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-london/) · [🎓**University of Cambridge** Cambridge · United Kingdom 1984–2022 · 2 papersEducation 1984–1987 · PhD, Computer Laboratory](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/)

🏛️**DeepMind Technologies Ltd** London · [United Kingdom](https://md.research.elamur.ai/free/en/countries/united-kingdom/) 2017Employment since 2017 · Senior Research Scientist

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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/murray-shanahan/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/murray-shanahan/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Role-Play with Large Language Models](https://md.research.elamur.ai/free/en/papers/shanahan-2023-role-play-large-language-models/)** *(2023 · 610 citations)* The paper addresses a conceptual problem. Chat systems built on LLMs talk so fluently that we naturally describe them with words like "knows" or "wants." Taken literally, that vocabulary misleads us into treating them as human. The authors offer no dataset or experiment. Instead they propose a framework for…
2. **[Faithful Reasoning Using Large Language Models](https://md.research.elamur.ai/free/en/papers/creswell-2022-faithful-reasoning-using-large-language/)** *(2022 · 122 citations)* Large language models usually answer questions in a single opaque pass. Users cannot see which premises were used or check the logic, and multi-step problems suffer. Creswell and Shanahan (DeepMind) propose a forward-chaining system whose computation follows the formal definition of a valid reasoning trace.

## All works

5 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. **[Role-Play with Large Language Models](https://md.research.elamur.ai/free/en/papers/shanahan-2023-role-play-large-language-models/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Murray Shanahan, Kyle McDonell, Laria Reynolds*2023 · 610 citations*
2. **[Relational Deep Reinforcement Learning ↗](https://arxiv.org/abs/1806.01830) arXiv (Cornell University) · no summary yet**Vinícius Zambaldi et al.*2018 · 160 citations*
3. **[Deep reinforcement learning with relational inductive biases ↗](https://openalex.org/W2907502844) International Conference on Learning Representations · no summary yet**Vinícius Zambaldi et al.*2018 · 132 citations*
4. [**Faithful Reasoning Using Large Language Models arXiv:2208.14271**Antonia Creswell, Murray Shanahan*2022 · 122 citations*](https://md.research.elamur.ai/free/en/papers/creswell-2022-faithful-reasoning-using-large-language/)
5. **[AlignNet: Unsupervised Entity Alignment ↗](https://arxiv.org/abs/2007.08973) arXiv (Cornell University) · no summary yet**Antonia Creswell et al.*2020 · 9 citations*

## Co-authors here

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

- [Antonia Creswell](https://md.research.elamur.ai/free/en/authors/antonia-creswell/)
- [Kyle McDonell](https://md.research.elamur.ai/free/en/authors/kyle-mcdonell/)
- [Laria Reynolds](https://md.research.elamur.ai/free/en/authors/laria-reynolds/)

## 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 2023](https://md.research.elamur.ai/free/en/venues/nature/2023/)
- International Conference on Learning Representations

## Cited by

Papers of our library cite their works 249 times (of the 149,439 papers whose bibliographies we read); [77 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/murray-shanahan/cited-by/).

Updated 2 November 2026
