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Libby Barak

Libby Barak has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Psycholinguistics & language acquisition, Multilingual & cross-lingual NLP; often with Whitney Poh, Michael Tombolini, Anna Feldman.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 7 · 40 works · 194 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #10835

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

🎓Montclair State UniversityMontclair · United States2023–2026 · 10 papersEmployment since 2023 · Assistant Professor, Linguistics and Computer Sciencecurrent🎓University of TorontoToronto · Canada2009–2014 · 7 papers🎓Princeton UniversityPrinceton · United States2016–2019 · 6 papers🎓Rutgers, The State University of New JerseyNew Brunswick · United States2021–2023 · 4 papers

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 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksDevelopmental and Educational Psychology · 2 worksPsychology · 2 worksCommunication · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksPsycholinguistics & language acquisition · 2 worksMultilingual & cross-lingual NLP · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Child-directed speech · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. What did you say? Generating Child-Directed Speech Questions to Train LLMs (2025 · 3 citations)
    Language models trained on adult speech addressed to children (Child-Directed Speech, CDS) often perform better than models trained on the same amount of other types of text.
  2. Challenges in Japanese Euphemism Classification: An Analysis of Pretrained Japanese and Multilingual Models (2026)
    Euphemisms are difficult for NLP because whether a phrase is meant literally or euphemistically depends on context, social norms and pragmatic inference.
  3. Making Synthetic Questions More Child-Directed: Prompting and Sampling Effects (2026)
    Child-directed speech (CDS) can help small language models learn, but real CDS corpora are small, so researchers try to synthesize CDS-like input.

 Co-authors here

4 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 3 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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