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Joey Öhman
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 10
Top Topics
Trec Collections
Sequential Monte Carlo
Language Model
Autoregressive
Top Venues
CoRR
EMNLP
ACL (1)
LREC/COLING
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Publications
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Ariel Ekgren
,
Amaru Cuba Gyllensten
,
Felix Stollenwerk
,
Joey Öhman
,
Tim Isbister
,
Evangelia Gogoulou
,
Fredrik Carlsson
,
Judit Casademont
,
Magnus Sahlgren
GPT-SW3: An Autoregressive Language Model for the Scandinavian Languages.
LREC/COLING
(2024)
Felix Stollenwerk
,
Joey Öhman
,
Danila Petrelli
,
Emma Wallerö
,
Fredrik Olsson
,
Camilla Bengtsson
,
Andreas Horndahl
,
Gabriela Zarzar Gandler
Text Annotation Handbook: A Practical Guide for Machine Learning Projects.
CoRR
(2023)
Aleksandrs Berdicevskis
,
Gerlof Bouma
,
Robin Kurtz
,
Felix Morger
,
Joey Öhman
,
Yvonne Adesam
,
Lars Borin
,
Dana Dannélls
,
Markus Forsberg
,
Tim Isbister
,
Anna Lindahl
,
Martin Malmsten
,
Faton Rekathati
,
Magnus Sahlgren
,
Elena Volodina
,
Love Börjeson
,
Simon Hengchen
,
Nina Tahmasebi
Superlim: A Swedish Language Understanding Evaluation Benchmark.
EMNLP
(2023)
Felix Stollenwerk
,
Niklas Fastlund
,
Anna Nyqvist
,
Joey Öhman
Annotated Job Ads with Named Entity Recognition.
CoRR
(2023)
Joey Öhman
,
Severine Verlinden
,
Ariel Ekgren
,
Amaru Cuba Gyllensten
,
Tim Isbister
,
Evangelia Gogoulou
,
Fredrik Carlsson
,
Magnus Sahlgren
The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling.
CoRR
(2023)
Ariel Ekgren
,
Amaru Cuba Gyllensten
,
Felix Stollenwerk
,
Joey Öhman
,
Tim Isbister
,
Evangelia Gogoulou
,
Fredrik Carlsson
,
Alice Heiman
,
Judit Casademont
,
Magnus Sahlgren
GPT-SW3: An Autoregressive Language Model for the Nordic Languages.
CoRR
(2023)
Ariel Ekgren
,
Amaru Cuba Gyllensten
,
Evangelia Gogoulou
,
Alice Heiman
,
Severine Verlinden
,
Joey Öhman
,
Fredrik Carlsson
,
Magnus Sahlgren
Lessons Learned from GPT-SW3: Building the First Large-Scale Generative Language Model for Swedish.
LREC
(2022)
Daniel Lundén
,
Joey Öhman
,
Jan Kudlicka
,
Viktor Senderov
,
Fredrik Ronquist
,
David Broman
Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference.
ESOP
(2022)
Fredrik Carlsson
,
Joey Öhman
,
Fangyu Liu
,
Severine Verlinden
,
Joakim Nivre
,
Magnus Sahlgren
Fine-Grained Controllable Text Generation Using Non-Residual Prompting.
ACL (1)
(2022)
Daniel Lundén
,
Joey Öhman
,
Jan Kudlicka
,
Viktor Senderov
,
Fredrik Ronquist
,
David Broman
Universal Probabilistic Programming Language Compilation with Parallel Efficient Sequential Monte Carlo Inference.
CoRR
(2021)