Lovisa Hagström

Doctoral Student at Data Science and AI

Source: chalmers.se
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Showing 5 publications

2023

The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models

Lovisa Hagström, Denitsa Saynova, Tobias Norlund et al
EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings, p. 5457-5476
Paper in proceeding
2022

How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input?

Lovisa Hagström, Richard Johansson
International Conference on Computational Linguistics . Proceedings. Vol. 29 (1), p. 5582-5596
Paper in proceeding
2022

What do Models Learn From Training on More Than Text? Measuring Visual Commonsense Knowledge

Lovisa Hagström, Richard Johansson
PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022): STUDENT RESEARCH WORKSHOP, p. 252-261
Paper in proceeding
2021

Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it?

Tobias Norlund, Lovisa Hagström, Richard Johansson
BlackboxNLP 2021 - Proceedings of the 4th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, p. 149-162
Paper in proceeding

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