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Russell Moore

Russell Moore has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Grammatical error correction & learner language; often with Andrew Caines, Christopher Bryant, Christopher Davis.

2 papers in our library · 2023–2026

OpenAlex · h-index 4 · 11 works · 94 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 22 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7780

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 CambridgeCambridge · United Kingdom2015–2026 · 9 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workEnglish · 1 workEvaluation & benchmarks · 1 workGrammatical error correction & learner language · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. On the application of Large Language Models for language teaching and assessment technology (2023 · 51 citations)
    This position paper, from the ALTA Institute at Cambridge and partners, asks how very large language models such as GPT-4 and PaLM could support AI-based systems that teach and assess language learners.
  2. Multi-component student writing profiles for expert-aligned automated evaluation of English learner essays. (2026)
    Automated Writing Evaluation tools usually give learners one score or coarse statistics, and these do not match well with what expert teachers would say.

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. On the application of Large Language Models for language teaching and assessment technologyarXiv:2307.08393Andrew Caines, Luca Benedetto, Shiva Taslimipoor, et al.2023 · 51 citations
  2. Automated speech-unit delimitation in spoken learner English ↗Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers · no summary yetRussell Moore et al.2016 · 8 citations
  3. Multi-component student writing profiles for expert-aligned automated evaluation of English learner essays.Workshop on Innovative Use of NLP for Building Educational Applications (BEA)Russell Moore, Andrew Caines, Paula Buttery2026

 Co-authors here

10 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 22 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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