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Jessica Lundin

Jessica Lundin has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Tokenization & segmentation; often with David Ifeoluwa Adelani.

2 papers in our library · 2025–2026

OpenAlex · h-index 5 · 14 works · 152 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 81 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #10919

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

🤝Gates FoundationSeattle · United States2025–2026 · 4 paperscurrent🔬Institute for Disease ModelingBellevue · United States2026 · 1 papercurrent🏢MicrosoftRedmond · United States2017–2020 · 4 papers🏢SalesforceSan Francisco · United States2021 · 3 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 · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksBiochemistry, Genetics and Molecular Biology · 1 workHealth Informatics · 1 workMedicine · 1 workMolecular Biology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workTokenization & segmentation · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. The Token Tax: Systematic Bias in Multilingual Tokenization (2025 · 12 citations)
    Subword tokenizers split text in morphologically rich, low-resource languages into far more pieces than English.
  2. From Guidelines to Guarantees: A Graph-Based Evaluation Harness for Domain-Specific Evaluation of LLMs (2026)
    Hand-built medical multiple-choice benchmarks are fixed sets of questions. They can leak into training corpora, they report only overall scores, and they cannot show which parts of a given guideline were actually tested. The authors address this using the WHO IMCI handbook, an 80-page collection of flowcharts and…

All works

4 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 Token Tax: Systematic Bias in Multilingual TokenizationWorkshop on African Natural Language ProcessingJessica M. Lundin, Ada Zhang, Nihal Karim, et al.2025 · 12 citations
  2. Multi-Pair Text Style Transfer for Unbalanced Data via Task-Adaptive Meta-Learning ↗Proceedings of the 1st Workshop on Meta Learning and Its Applications to Natural Language Processing · no summary yetXing Han, Jessica Lundin2021 · 1 citation
  3. From Guidelines to Guarantees: A Graph-Based Evaluation Harness for Domain-Specific Evaluation of LLMsWorkshop on Evaluating Evaluations (EvalEval)Jessica M. Lundin, Usman Nasir Nakakana, Guillaume Chabot-Couture2026
  4. Multi-Pair Text Style Transfer on Unbalanced Data ↗arXiv:2106.10608 · no summary yetXing Han, Jessica Lundin2021

 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 81 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

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