Lovisa Hagström

Gästforskare vid Data Science och AI 2

Källa: chalmers.se
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Visar 12 publikationer

2025

A Reality Check on Context Utilisation for Retrieval-Augmented Generation

Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu et al
Proceedings of the Annual Meeting of the Association for Computational Linguistics. Vol. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), p. 19691-19730
Paper i proceeding
2025

Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion

Denitsa Saynova, Lovisa Hagström, Moa Johansson et al
Findings of the Association for Computational Linguistics: ACL 2025, p. 18322-18349
Paper i proceeding
2025

Language Model Re-rankers are Fooled by Lexical Similarities

Lovisa Hagström, Ercong Nie, Ruben Halifa et al
Proceedings of the Eighth Fact Extraction and VERification Workshop (FEVER), p. 18-33
Paper i proceeding
2024

Identification and Quantification of Barriers to Achieving Clinical Trial Diversity

Daniel Fernandez-Llaneza, Lovisa Hagström, Cassie A. Rist et al
Pharmacoepidemiology and Drug Safety. Vol. 33 (suppl. 2), p. 610-611
Övrigt konferensbidrag
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

Can We Use Small Models to Investigate Multimodal Fusion Methods?

Lovisa Hagström, Tobias Norlund, Richard Johansson
Proceedings of the 2022 CLASP Conference on (Dis)embodiment, p. 45-50
Paper i proceeding
2022

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

Lovisa Hagström, Richard Johansson
Proceedings of the Annual Meeting of the Association for Computational Linguistics, p. 252-261
Paper i 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 i proceeding
2021

Knowledge Distillation for Swedish NER models: A Search for Performance and Efficiency

Lovisa Hagström, Richard Johansson
Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021), p. 124-134
Paper i proceeding

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