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Börje F. Karlsson

Börje F. Karlsson has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Multilingual & cross-lingual NLP; often with Daniel D'souza, Freddie Vargus, Ge Zhang.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 14 · 99 works · 942 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 404 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5432

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning (2024 · 207 citations)
    Instruction fine-tuning (IFT) relies on curated prompt–completion data, but nearly all such data is in English, so multilingual LLMs serve many speakers poorly.
  2. AutoAgents: A Framework for Automatic Agent Generation (2023 · 107 citations)
    Most LLM-based multi-agent systems use agents whose roles people define in advance. This makes them hard to adapt to new task types and expensive to scale. AutoAgents removes that dependence by assembling a task-specific team of expert agents automatically.

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. GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition ↗arXiv:1907.05611 · no summary yetHui Chen et al.2019 · 119 citations
  2. AutoAgents: A Framework for Automatic Agent GenerationarXiv:2309.17288Guangyao Chen, Siwei Dong, Yu Shu, et al.2023 · 107 citations
  3. Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetQianhui Wu et al.2020 · 94 citations

 Co-authors here

7 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 404 times (of the 149,439 papers whose bibliographies we read); 104 citing papers with a page here →.

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