Підписатись
Joey Öhman
Joey Öhman
Embark Studios
Підтверджена електронна адреса в embark-studios.com
Назва
Посилання
Посилання
Рік
Fine-grained controllable text generation using non-residual prompting
F Carlsson, J Öhman, F Liu, S Verlinden, J Nivre, M Sahlgren
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
492022
Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference.
D Lundén, J Öhman, J Kudlicka, V Senderov, F Ronquist, D Broman
ESOP, 29-56, 2022
162022
Lessons learned from GPT-SW3: building the first large-scale generative language model for swedish
A Ekgren, AC Gyllensten, E Gogoulou, A Heiman, S Verlinden, J Öhman, ...
122022
Superlim: A Swedish language understanding evaluation benchmark
A Berdičevskis, G Bouma, R Kurtz, F Morger, J Öhman, Y Adesam, L Borin, ...
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
112023
GPT-SW3: an autoregressive language model for the Nordic languages
A Ekgren, AC Gyllensten, F Stollenwerk, J Öhman, T Isbister, E Gogoulou, ...
arXiv preprint arXiv:2305.12987, 2023
102023
The Nordic Pile: A 1.2 TB Nordic dataset for language modeling
J Öhman, S Verlinden, A Ekgren, AC Gyllensten, T Isbister, E Gogoulou, ...
arXiv preprint arXiv:2303.17183, 2023
72023
Alphazero to alpha hero: A pre-study on additional tree sampling within self-play reinforcement learning
F Carlsson, J Öhman
52019
GPT-SW3: An autoregressive language model for the Scandinavian languages
A Ekgren, AC Gyllensten, F Stollenwerk, J Öhman, T Isbister, E Gogoulou, ...
Proceedings of the 2024 Joint International Conference on Computational …, 2024
42024
DaLAJ-GED-a dataset for Grammatical Error Detection tasks on Swedish
E Volodina, YA Mohammed, A Berdičevskis, G Bouma, J Öhman
Proceedings of the 12th Workshop on NLP for Computer Assisted Language …, 2023
42023
Annotated Job Ads with Named Entity Recognition
F Stollenwerk, N Fastlund, A Nyqvist, J Öhman
arXiv preprint arXiv:2310.11769, 2023
32023
Active learning for named entity recognition with swedish language models
J Öhman
22021
Text Annotation Handbook: A Practical Guide for Machine Learning Projects
F Stollenwerk, J Öhman, D Petrelli, E Wallerö, F Olsson, C Bengtsson, ...
arXiv preprint arXiv:2310.11780, 2023
2023
Universal Probabilistic Programming Language Compilation with Parallel Efficient Sequential Monte Carlo Inference
D Lundén, J Öhman, J Kudlicka, V Senderov, F Ronquist, D Broman
arXiv preprint arXiv:2112.00364, 2021
2021
Compilation of Universal Probabilistic Programs to GPGPUs
D Lundén, J Öhman, D Broman
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