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Claire E. Stevenson

Claire E. Stevenson has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Lonneke van der Plas, Melanie Mitchell.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 16 · 57 works · 964 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #10894

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 AmsterdamAmsterdam · Netherlands2009–2026 · 38 papersEmployment since 2016current🎓Leiden UniversityLeiden · Netherlands2007–2017 · 16 papersEducation 2007–2012Employment 2012–2016🎓Università della Svizzera italianaLugano · Switzerland2025 · 2 papers🎓Stockholm UniversityStockholm · Sweden2016Employment since 2016

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksExperimental and Cognitive Psychology · 1 workPsychology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Can Large Language Models Generalize Analogy Solving Like Children Can? (2026 · 2 citations)
    This study tests whether large language models can carry analogical reasoning into unfamiliar domains as flexibly as people, including young children.
  2. Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research (2026 · 1 citation)
    This survey links cognitive-science accounts of analogy with work in NLP. The authors argue that NLP systems tend to rely on entity-level resemblance and pay too little attention to shared relational structure. They do not introduce new data, models or benchmarks. Instead, they outline human analogical reasoning as…

 Co-authors here

2 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 2 times (of the 149,439 papers whose bibliographies we read).

Updated

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