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Sinead Williamson

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

2 papers in our library · 2025

OpenAlex · ORCID · h-index 13 · 59 works · 735 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 16 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9479

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

🎓The University of Texas at AustinAustin · United States2012–2024 · 31 papers🎓Carnegie Mellon UniversityPittsburgh · United States2012–2018 · 6 papers🎓University of CambridgeCambridge · United Kingdom2008–2011 · 4 papers🏢AppleCupertino · United States2022–2024 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 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 3Research subjects and languages the work is about.Language models & pretraining · 2 worksMultilingual & cross-lingual NLP · 1 workEvaluation & benchmarks · 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. Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results (2025 · 6 citations)
    Uncertainty quantification (UQ) methods for language models are usually benchmarked by checking, via AUROC, how well uncertainty scores separate correct from incorrect answers.

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. The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling ↗no summary yetSinead A. Williamson et al.2010 · 141 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. Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias ResultsAnnual Meeting of the Association for Computational Linguistics (ACL)Andrea Santilli, Adam Golinski, Michael Kirchhof, et al.2025 · 6 citations

 Co-authors here

1 co-author 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 16 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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