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Lucas Weber

Lucas Weber has 2 papers in our library, in 2023; often with Dieuwke Hupkes, Elia Bruni.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 10 · 60 works · 463 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 35 times in our library · ⭐ Paper Stars ranking: #8077

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

🏥Kantonsspital WinterthurWinterthur · Switzerland2021–2026 · 8 paperscurrent🎓Friedrich-Alexander-Universität Erlangen-NürnbergErlangen · Germany2023–2026 · 5 paperscurrent🔬Helmholtz MunichMunich · Germany1979–1995 · 9 papers🏥University Hospital ZurichZurich · Switzerland2018–2024 · 8 papers🎓University of ZurichZurich · Switzerland2020–2024 · 6 papers🎓HTWG Hochschule Konstanz - Technik, Wirtschaft und GestaltungKonstanz · Germany2020–2022 · 6 papers🏥University of Kansas Medical CenterKansas City · United States1992–1995 · 6 papers🎓Universitat Pompeu FabraBarcelona · Spain2021–2024 · 4 papers🔬Département d'InformatiqueParis · France2023–2024 · 2 papers🎓Université Paris Sciences et LettresParis · France2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 workDecision Sciences · 1 workComputational Theory and Mathematics · 1 workInformation Systems and Management · 1 workSoftware · 1 work

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning (2023 · 29 citations)
    In-context learning (ICL) lets large language models perform tasks without parameter updates, but its results are notoriously unstable.
  2. The ICL Consistency Test (2023 · 12 citations)
    Large language models adapted through in-context learning (ICL) often give different answers to the same input when the prompt changes in ways that should not matter, such as rewording the instruction.

 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 35 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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