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Tristan Thrush

Tristan Thrush has 2 papers in our library, in 2021–2022, most of them on Reasoning; often with Douwe Kiela, Adina Williams, Bertie Vidgen.

2 papers in our library · 2021–2022

OpenAlex · h-index 13 · 43 works · 1,944 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 276 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3877

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Stanford UniversityStanford · United States2020–2026 · 5 paperscurrent🏢Hugging FaceNew York · United States2021–2023 · 7 papers🏢MetaMenlo Park · United States2020–2022 · 6 papers🎓University of MichiganAnn Arbor · United States2021–2023 · 2 papers🎓University of Southern CaliforniaLos Angeles · United States2021–2022 · 2 papers🎓UCLouvainLouvain-la-Neuve · Belgium2021 · 2 papers🎓Massachusetts Institute of TechnologyCambridge · United States2020 · 2 papers

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.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

 Works by year

2020s

20221 paperTristan Thrush's papers of 202220211 paperTristan Thrush's papers of 2021

 Papers

The most cited first (OpenAlex and our library).

  1. Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection (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 (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 DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Bertie Vidgen, Tristan Thrush, Zeerak Waseem, et al.2021 · 320 citations
  2. ANLIzing the Adversarial Natural Language Inference DatasetSociety for Computation in Linguistics (SCiL)Adina Williams, Tristan Thrush, Douwe Kiela2022 · 48 citations
  3. Compositional Neural Machine Translation by Removing the Lexicon from Syntax ↗arXiv:2002.08899 · no summary yetTristan Thrush2020 · 4 citations

 Co-authors here

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

Venues

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

 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 →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/tristan-thrush/