Elamur Research⌕
☰
home / authors / Nicholas Tomlin

Nicholas Tomlin

Nicholas Tomlin has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Dan Klein, Daniel Fried, Jennifer Hu.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 5 · 18 works · 131 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 124 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4825

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

🎓University of California, BerkeleyBerkeley · United States2022–2026 · 14 paperscurrent🎓New York UniversityNew York · United States2025–2026 · 4 paperscurrent

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

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

💡 Concepts 1Key ideas and methods explained on our concept pages.Implicature · 1 work

 Works by year

2020s

20241 paperGhostbuster: Detecting Text Ghostwritten by Large Language Models20231 paperPragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches

 Papers

The most cited first (OpenAlex and our library).

  1. Ghostbuster: Detecting Text Ghostwritten by Large Language Models (2024 · 122 citations)
    Ghostbuster tackles the detection of documents written by large language models when the generating model is unknown or only reachable as a black box.
  2. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches (2023 · 36 citations)
    This survey examines how NLP systems, including LLMs, can handle pragmatics: the way people use context to convey more than they literally say.

All works

4 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. Ghostbuster: Detecting Text Ghostwritten by Large Language ModelsVivek Verma, Eve Fleisig, Nicholas Tomlin, et al.Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) · 122 citations
  2. Decision-Oriented Dialogue for Human-AI Collaboration · original ↗ · no summary yet · Transactions of the Association for Computational LinguisticsJessy Lin et al.2024 · 56 citations
  3. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.Findings of the Association for Computational Linguistics · 36 citations
  4. Neural Unsupervised Reconstruction of Protolanguage Word Forms · original ↗ · no summary yet · Proceedings of the 61st Annual Meeting of the Association for Computational…Andre He, Nicholas Tomlin, Dan Klein2023 · 11 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 124 times (of the 141,840 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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