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Skyler Seto

Skyler Seto has 2 papers in our library, in 2025, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Eileen Pan, Maartje Ter Hoeve, Sinead Williamson.

2 papers in our library · 2025

OpenAlex · h-index 5 · 40 works · 228 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 89 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9480

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

🎓Carnegie Mellon UniversityPittsburgh · United States2024–2026 · 3 paperscurrent🎓Technical University of DenmarkKongens Lyngby · Denmark2025–2026 · 3 paperscurrent🏢AppleCupertino · United States2022–2025 · 10 papers🎓Cornell UniversityIthaca · United States2015–2020 · 2 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 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.Language models & pretraining · 2 worksMultilingual & cross-lingual NLP · 1 workEvaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language Models (2025 · 9 citations)
    Multilingual LLMs perform better on cross-lingual tasks when their representations of different languages are well aligned.
  2. Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks (2025 · 6 citations)
    The paper asks whether LLMs answer simple knowledge and reasoning questions less accurately when the questions are written in non-"standard" English dialects rather than Standard American English (SAE), and which grammatical features cause the gap.

All works

3 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. Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetPratyush Maini et al.2024 · 90 citations
  2. Steering into New Embedding Spaces: Analyzing Cross-Lingual Alignment Induced by Model Interventions in Multilingual Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Anirudh Sundar, Sinead Williamson, Katherine Metcalf, et al.2025 · 9 citations
  3. Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning BenchmarksFindings of the Association for Computational LinguisticsEileen Pan, Anna Seo Gyeong Choi, Maartje Ter Hoeve, et al.2025 · 6 citations

 Co-authors here

3 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 89 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

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