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Johan Boye

Johan Boye has 2 papers in our library, in 2021–2025, most of them on Dependency parsing, Universal Dependencies, Language models & pretraining.

2 papers in our library · 2021–2025

OpenAlex · ORCID · h-index 17 · 87 works · 703 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 33 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #11899

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

🎓KTH Royal Institute of TechnologyStockholm · Sweden2000–2024 · 22 papersEmployment🏢TeliaSoneraStockholm · Sweden2000–2007 · 10 papers🎓University of OxfordOxford · United Kingdom2010–2011 · 4 papers🎓Linköping UniversityLinköping · Sweden1991–1997 · 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksApplied Mathematics · 1 workMathematics · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 workDependency parsing · 1 workUniversal Dependencies · 1 work

 Works by year

2020s

20251 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Large Language Models and Mathematical Reasoning Failures (2025 · 9 citations)
    The paper asks whether LLMs genuinely reason through mathematical word problems or just reach plausible answers by shortcuts.
  2. Minor changes make a difference: a case study on the consistency of UD-based dependency parsers (2021 · 2 citations)
    The paper asks whether off-the-shelf UD parsers stay consistent when a sentence is changed only trivially.

All works

7 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. BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset ↗Proceedings of the 14th International Conference on Natural Language Generation · no summary yetDmytro Kalpakchi, Johan Boye2021 · 22 citations
  2. Quasi: a synthetic Question-Answering dataset in Swedish using GPT-3 and zero-shot learning ↗Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa) · no summary yetDmytro Kalpakchi, Johan Boye2023 · 10 citations
  3. Large Language Models and Mathematical Reasoning FailuresarXiv:2502.11574Johan Boye, Birger Moell2025 · 9 citations
  4. SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish ↗arXiv:2304.13994 · no summary yetDmytro Kalpakchi, Johan Boye2023 · 3 citations
  5. Generation and Evaluation of Multiple-choice Reading Comprehension Questions for Swedish ↗Northern European Journal of Language Technology · no summary yetDmytro Kalpakchi, Johan Boye2024 · 2 citations
  6. Minor changes make a difference: a case study on the consistency of UD-based dependency parsersDmytro Kalpakchi, Johan BoyeMova's core list · 2 citations
  7. Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish ↗arXiv:2211.15568 · no summary yetDmytro Kalpakchi, Johan Boye2022 · 1 citation

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 33 times (of the 150,927 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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