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.
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
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 work
Works by year
2020s
Papers
- 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. - 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
- Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Shivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 207 citations
- 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
- AutoAgents: A Framework for Automatic Agent GenerationarXiv:2309.17288Guangyao Chen, Siwei Dong, Yu Shu, et al.2023 · 107 citations
- 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
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2024
- Conference on Empirical Methods in Natural Language Processing (EMNLP)
Cited by
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