Richard Johansson

Professor vid Data Science och AI

Källa: chalmers.se
Image of Richard Johansson

Visar 10 publikationer

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 i 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 i 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 i 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 i 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 i 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 i 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 i 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
Artikel i vetenskaplig tidskrift
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 i 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
Artikel i vetenskaplig tidskrift

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