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Matthew R. Gormley

Matthew R. Gormley has 3 papers in our library, in 2019–2026, most of them on Language models & pretraining; often with Graham Neubig, Amanda Bertsch, Barun Patra.

3 papers in our library · 2019–2026

OpenAlex · ORCID · h-index 14 · 51 works · 794 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 208 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4510

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

🎓Carnegie Mellon UniversityPittsburgh · United States2016–2026 · 235 paperscurrent🎓Johns Hopkins UniversityBaltimore · United States2010–2021 · 15 papers🎓Harbin Institute of TechnologyHarbin · China2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksArtificial Intelligence · 2 worksHuman-Computer Interaction · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20261 paperFrom sunblock to softblock: Analyzing the correlates of neology in published writing and on social media20251 paperIn-Context Learning with Long-Context Models: An In-Depth Exploration

2010s

20191 paperBilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces

 Papers

The most cited first (OpenAlex and our library).

  1. Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces (2019 · 158 citations)
    Most bilingual lexicon induction (BLI) methods map one monolingual embedding space onto another with an orthogonal matrix.
  2. In-Context Learning with Long-Context Models: An In-Depth Exploration (2025 · 75 citations)
    Long-context language models can now fit thousands of demonstrations in a prompt, sometimes approaching the size of a whole training set.
  3. From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media (2026)
    The paper asks whether the semantic factors linked to the birth of new English words (neology) are the same on social media as in edited print.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding SpacesAnnual Meeting of the Association for Computational Linguistics (ACL)Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, et al.2019 · 158 citations
  2. Unlimiformer: Long-Range Transformers with Unlimited Length InputarXiv:2305.01625 · original ↗ · no summary yetAmanda Bertsch et al.2023 · 108 citations
  3. In-Context Learning with Long-Context Models: An In-Depth ExplorationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Amanda Bertsch, Maor Ivgi, Emily Xiao, et al.2025 · 75 citations
  4. He Said, She Said: Style Transfer for Shifting the Perspective of DialoguesFindings of the Association for Computational Linguistics: EMNLP 2022 · original ↗ · no summary yetAmanda Bertsch, Graham Neubig, Matthew R. Gormley2022 · 7 citations
  5. From sunblock to softblock: Analyzing the correlates of neology in published writing and on social mediaProceedings for the International Workshop on Computational Approaches to Language ChangeMaria Ryskina, Matthew R. Gormley, Kyle Mahowald, et al.2026

 Co-authors here

12 of 13 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 208 times (of the 141,840 papers whose bibliographies we read); 21 citing papers with a page here →.

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