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Paul Smolensky

Paul Smolensky has 2 papers in our library, in 2018–2023, most of them on Language models & pretraining, Text generation, Evaluation & benchmarks; often with Asli Celikyilmaz, Benjamin Van Durme, Jianfeng Gao.

2 papers in our library · 2018–2023

OpenAlex · ORCID · h-index 47 · 290 works · 18,278 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 65 times in our library · ⭐ Paper Stars ranking: #4994

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

🏢MicrosoftRedmond · United States2017–2026 · 29 paperscurrent🎓Johns Hopkins UniversityBaltimore · United States1997–2024 · 86 papers🎓University of Colorado BoulderBoulder · United States1987–2016 · 26 papers🎓University of Colorado SystemBoulder · United States1986–1990 · 7 papers🔬Dalle Molle Institute for Artificial Intelligence ResearchLugano · Switzerland2019 · 2 papers🎓University of California San DiegoSan Diego · United States1983 · 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.

 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 4Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 workText generation · 1 workEnglish · 1 work

 Works by year

2020s

20231 paperHow Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN

2010s

20181 paperPredicting the Argumenthood of English Prepositional Phrases

 Papers

The most cited first (OpenAlex and our library).

  1. How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN (2023 · 116 citations)
    When researchers judge a language model by the text it produces, they usually assume the output reflects learned linguistic knowledge.
  2. Predicting the Argumenthood of English Prepositional Phrases (2018 · 4 citations)
    The paper asks whether a model can tell if a prepositional phrase attached to a verb is an argument, meaning it is selected by the verb, or an adjunct, meaning an optional modifier.

 Co-authors here

7 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 65 times (of the 141,840 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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