--- title: "Robert Stanforth · Google — author profile and papers" description: "Robert Stanforth, Google: 2 papers on Elamur Research (2019), h-index 17 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/robert-stanforth/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/robert-stanforth/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Robert Stanforth # Robert Stanforth Robert Stanforth has 2 papers in our library, in 2019, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Dani Yogatama](https://md.research.elamur.ai/free/en/authors/dani-yogatama/), [Johannes Welbl](https://md.research.elamur.ai/free/en/authors/johannes-welbl/), [Po-Sen Huang](https://md.research.elamur.ai/free/en/authors/po-sen-huang/). 2 papers in our library · 2019 [OpenAlex](https://openalex.org/A5076040849) · [**h-index 17**](https://openalex.org/authors/A5076040849) · [31 works](https://openalex.org/works?filter=author.id:A5076040849) · [1,788 citations](https://openalex.org/works?filter=author.id:A5076040849&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/robert-stanforth/#papers) · [🔗 Cited 142 times in our library](https://md.research.elamur.ai/free/en/authors/robert-stanforth/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5819](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5819) 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=Robert+Stanforth) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Robert+Stanforth) · [dblp](https://dblp.org/search?q=Robert+Stanforth) · [ACL Anthology](https://aclanthology.org/search/?q=Robert+Stanforth) ## Affiliations [🏢**Google DeepMind** London · United Kingdom 2018–2024 · 9 papers*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🏢**Google** Mountain View · United States 2019–2024 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University College London** London · United Kingdom 2019–2020 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-college-london/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**Birkbeck, University of London** London · United Kingdom 2007 · 2 papers](https://ror.org/02mb95055) 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 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/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [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/) 🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2010s [**2019** 2 papers](https://md.research.elamur.ai/free/en/authors/robert-stanforth/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation](https://md.research.elamur.ai/free/en/papers/huang-2019-achieving-verified-robustness-symbol-substitutions/)** *(2019 · 163 citations)* Neural text classifiers can be fooled by small edits such as swapping a word for a synonym or flipping characters. 2. **[Reducing Sentiment Bias in Language Models via Counterfactual Evaluation](https://md.research.elamur.ai/free/en/papers/huang-2019-reducing-sentiment-bias-language-models/)** *(2019 · 104 citations)* The paper examines whether text produced by large language models carries sentiment bias, where the tone of a continuation shifts depending on which country, occupation or person name appears in the prompt. ## All works 3 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. **[Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation](https://md.research.elamur.ai/free/en/papers/huang-2019-achieving-verified-robustness-symbol-substitutions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Po-Sen Huang, Robert Stanforth, Johannes Welbl, et al.*2019 · 163 citations* 2. **[Scalable Verified Training for Provably Robust Image Classification ↗](https://doi.org/10.1109/iccv.2019.00494) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Sven Gowal et al.*2019 · 149 citations* 3. [**Reducing Sentiment Bias in Language Models via Counterfactual Evaluation arXiv:1911.03064**Po-Sen Huang, Huan Zhang, Ray Jiang, et al.*2019 · 104 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-reducing-sentiment-bias-language-models/) ## Co-authors here 9 co-authors with a page, the most papers together first. - [Dani Yogatama](https://md.research.elamur.ai/free/en/authors/dani-yogatama/) ×2 - [Johannes Welbl](https://md.research.elamur.ai/free/en/authors/johannes-welbl/) ×2 - [Po-Sen Huang](https://md.research.elamur.ai/free/en/authors/po-sen-huang/) ×2 - [Pushmeet Kohli](https://md.research.elamur.ai/free/en/authors/pushmeet-kohli/) ×2 - [Chris Dyer](https://md.research.elamur.ai/free/en/authors/chris-dyer/) - [Huan Zhang](https://md.research.elamur.ai/free/en/authors/huan-zhang/) - [Jack W. Rae](https://md.research.elamur.ai/free/en/authors/jack-w-rae/) - [Krishnamurthy Dvijotham](https://md.research.elamur.ai/free/en/authors/krishnamurthy-dvijotham/) - [Vishal Maini](https://md.research.elamur.ai/free/en/authors/vishal-maini/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2019](https://md.research.elamur.ai/free/en/venues/emnlp/2019/) - IEEE/CVF International Conference on Computer Vision (ICCV) ## Cited by Papers of our library cite their works 142 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/robert-stanforth/cited-by/). Updated 2 November 2026