| 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 | 5 | 2022 |
| Alphazero to alpha hero: A pre-study on additional tree sampling within self-play reinforcement learning F Carlsson, J Öhman | 4 | 2019 |
| 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 | 2 | 2022 |
| 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, ... Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | 1 | 2022 |
| 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 |
| Active Learning for Named Entity Recognition with Swedish Language Models J Öhman | | 2021 |
| Compilation of Universal Probabilistic Programs to GPGPUs D Lundén, J Öhman, D Broman | | |
