Richard Johansson

Full Professor at Data Science and AI

Source: chalmers.se
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Showing 10 publications

2024

Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models

Mehrdad Farahani, Richard Johansson
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, p. 16966-16977
Paper in proceeding
2023

An Empirical Study of Multitask Learning to Improve Open Domain Dialogue Systems

Mehrdad Farahani, Richard Johansson
Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), p. 347-357
Paper in proceeding
2023

On the Generalization Ability of Retrieval-Enhanced Transformers

Tobias Norlund, Ehsan Doostmohammadi, Richard Johansson et al
EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023, p. 1455-1463
Paper in proceeding
2023

Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language Models

Ehsan Doostmohammadi, Tobias Norlund, Marco Kuhlmann et al
Association for Computational Linguistics . Annual Meeting Conference Proceedings. Vol. 2, p. 521-529
Paper in proceeding
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

Cross-modal Transfer Between Vision and Language for Protest Detection

Ria Dass Raj, Kajsa Andreasson, Tobias Norlund et al
CASE 2022 - 5th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, Proceedings of the Workshop, p. 56-60
Paper in proceeding
2022

Semi-supervised learning with natural language processing for right ventricle classification in echocardiography - a scalable approach

Eva Hagberg, David Hagerman Olzon, Richard Johansson et al
Computers in Biology and Medicine. Vol. 143
Journal article
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
2019

Issue salience on twitter during swedish party leaders' debates

Linn A.C. Sandberg, Ulf Bjereld, Karina Bunyik et al
Nordicom Review. Vol. 40 (2), p. 49-61
Journal article

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