--- title: "Tristan Thrush · Stanford University — author profile and papers" description: "Tristan Thrush, Stanford University: 2 papers on Elamur Research (2021–2022), h-index 13 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/tristan-thrush/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tristan-thrush/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tristan Thrush # Tristan Thrush Tristan Thrush has 2 papers in our library, in 2021–2022, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Douwe Kiela](https://md.research.elamur.ai/free/en/authors/douwe-kiela/), [Adina Williams](https://md.research.elamur.ai/free/en/authors/adina-williams/), [Bertie Vidgen](https://md.research.elamur.ai/free/en/authors/bertie-vidgen/). 2 papers in our library · 2021–2022 [OpenAlex](https://openalex.org/A5026811404) · [**h-index 13**](https://openalex.org/authors/A5026811404) · [43 works](https://openalex.org/works?filter=author.id:A5026811404) · [1,944 citations](https://openalex.org/works?filter=author.id:A5026811404&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tristan-thrush/#papers) · [🔗 Cited 276 times in our library](https://md.research.elamur.ai/free/en/authors/tristan-thrush/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3877](https://md.research.elamur.ai/free/en/paper-stars/page/39/#star-3877) 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=Tristan+Thrush) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tristan+Thrush) · [dblp](https://dblp.org/search?q=Tristan+Thrush) · [ACL Anthology](https://aclanthology.org/search/?q=Tristan+Thrush) ## Affiliations [🎓**Stanford University** Stanford · United States 2020–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🏢**Hugging Face** New York · United States 2021–2023 · 7 papers](https://md.research.elamur.ai/free/en/companies/hugging-face/) · [🏢**Meta** Menlo Park · United States 2020–2022 · 6 papers](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**University of Michigan** Ann Arbor · United States 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) · [🎓**University of Southern California** Los Angeles · United States 2021–2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**UCLouvain** Louvain-la-Neuve · Belgium 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/uclouvain/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2020 · 2 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) 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/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-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/) 🧭 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 [**2022** 1 paper Tristan Thrush's papers of 2022](https://md.research.elamur.ai/free/en/papers/williams-2022-anlizing-adversarial-natural-language-inference/) · [**2021** 1 paper Tristan Thrush's papers of 2021](https://md.research.elamur.ai/free/en/papers/vidgen-2021-learning-worst-dynamically-generated-datasets/) ## Papers The most cited first (OpenAlex and our library). 1. **[Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection](https://md.research.elamur.ai/free/en/papers/vidgen-2021-learning-worst-dynamically-generated-datasets/)** *(2021 · 320 citations)* Hate speech classifiers trained on static benchmarks often lack robustness. They overfit on slurs and identity terms, miss implicit or obfuscated abuse, and generalise poorly to new settings. Vidgen et al. address this with a human-and-model-in-the-loop pipeline. Over four rounds, trained annotators wrote entries… 2. **[ANLIzing the Adversarial Natural Language Inference Dataset](https://md.research.elamur.ai/free/en/papers/williams-2022-anlizing-adversarial-natural-language-inference/)** *(2022 · 48 citations)* The authors study why transformer models still struggle with ANLI, an adversarial NLI benchmark built over three rounds in which crowdworkers on Dynabench wrote hypotheses meant to fool a target model. ## 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. **[Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection](https://md.research.elamur.ai/free/en/papers/vidgen-2021-learning-worst-dynamically-generated-datasets/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bertie Vidgen, Tristan Thrush, Zeerak Waseem, et al.*2021 · 320 citations* 2. **[ANLIzing the Adversarial Natural Language Inference Dataset](https://md.research.elamur.ai/free/en/papers/williams-2022-anlizing-adversarial-natural-language-inference/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Adina Williams, Tristan Thrush, Douwe Kiela*2022 · 48 citations* 3. **[Compositional Neural Machine Translation by Removing the Lexicon from Syntax ↗](https://arxiv.org/abs/2002.08899) arXiv:2002.08899 · no summary yet**Tristan Thrush*2020 · 4 citations* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Douwe Kiela](https://md.research.elamur.ai/free/en/authors/douwe-kiela/) ×2 - [Adina Williams](https://md.research.elamur.ai/free/en/authors/adina-williams/) - [Bertie Vidgen](https://md.research.elamur.ai/free/en/authors/bertie-vidgen/) - [Zeerak Waseem](https://md.research.elamur.ai/free/en/authors/zeerak-waseem/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) - [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/): [SCiL 2022](https://md.research.elamur.ai/free/en/venues/scil/2022/) ## Cited by Papers of our library cite their works 276 times (of the 141,840 papers whose bibliographies we read); [30 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tristan-thrush/cited-by/). Updated 24 October 2026