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Christopher Davis

Christopher Davis has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Vision & language; often with Andrew Caines, Bill Byrne, Christopher Bryant.

2 papers in our library · 2023–2026

OpenAlex · h-index 12 · 32 works · 820 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 34 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #7777

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 Massachusetts AmherstAmherst Center · United States2007–2022 · 5 papers🎓University of CambridgeCambridge · United Kingdom2019–2023 · 4 papers🎓University of the RyukyusOkinawa · Japan2016–2021 · 4 papers🎓Vrije Universiteit AmsterdamAmsterdam · Netherlands2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 6The 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 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workVision & 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. Benchmarking Deflection and Hallucination in Large Vision-Language Models (2026)
    Retrieval-augmented LVLMs are increasingly used for knowledge-based visual question answering (KB-VQA). Existing benchmarks have three gaps. They score only accuracy. They ignore clashes between image and text evidence. They become outdated as models memorize more facts. This paper argues that when retrieved evidence…

All works

7 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. Affective Demonstratives and the Division of Pragmatic Labor ↗Lecture notes in computer science · no summary yetChristopher Michael Davis, Christopher E. Potts2010 · 195 citations
  2. The Pragmatic Values of Evidential Sentences ↗Proceedings from Semantics and Linguistic Theory · no summary yetChristopher Michael Davis, Christopher E. Potts, Margaret Speas2007 · 154 citations
  3. Expressives and Identity Conditions ↗Linguistic Inquiry · no summary yetChristopher E. Potts et al.2009 · 109 citations
  4. 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
  5. The pragmatics of expressive content: Evidence from large corpora ↗no summary yetNoah Constant et al.2009 · 50 citations
  6. The Pragmatic Values of Evidential Sentences ↗Proceedings from Semantics and Linguistic Theory · no summary yetChristopher Michael Davis, Christopher E. Potts, Margaret Speas2015 · 7 citations
  7. Benchmarking Deflection and Hallucination in Large Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nicholas Moratelli, Christopher Davis, Leonardo F. R. Ribeiro, et al.2026

 Co-authors here

12 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 34 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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