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Lovisa Hagström
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2020 – today
- 2023
- [c5]Lovisa Hagström, Denitsa Saynova, Tobias Norlund, Moa Johansson, Richard Johansson:
The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models. EMNLP 2023: 5457-5476 - [i4]Lovisa Hagström, Denitsa Saynova, Tobias Norlund, Moa Johansson, Richard Johansson:
The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models. CoRR abs/2311.01307 (2023) - 2022
- [c4]Lovisa Hagström, Richard Johansson:
What do Models Learn From Training on More Than Text? Measuring Visual Commonsense Knowledge. ACL (student) 2022: 252-261 - [c3]Lovisa Hagström, Richard Johansson:
How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input? COLING 2022: 5582-5596 - [i3]Lovisa Hagström, Richard Johansson:
What do Models Learn From Training on More Than Text? Measuring Visual Commonsense Knowledge. CoRR abs/2205.07065 (2022) - [i2]Lovisa Hagström, Richard Johansson:
How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input? CoRR abs/2209.08982 (2022) - 2021
- [c2]Tobias Norlund, Lovisa Hagström, Richard Johansson:
Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it? BlackboxNLP@EMNLP 2021: 149-162 - [c1]Lovisa Hagström, Richard Johansson:
Knowledge Distillation for Swedish NER models: A Search for Performance and Efficiency. NoDaLiDa 2021: 124-134 - [i1]Tobias Norlund, Lovisa Hagström, Richard Johansson:
Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it? CoRR abs/2109.11321 (2021)
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