Search Results - "Johansson, Richard"

Who Counts as a Sexual Subject? The Impact of Ableist Rhetoric for People with Intellectual Disability in Sweden by Bahner, Julia, Gäddman Johansson, Richard, Svanelöv, Eric

“…Introduction The ableist rhetoric around sexuality in disability services and beyond can hinder subjective sexual expression and have a powerful impact on…”
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Character-based recurrent neural networks for morphological relational reasoning by Mogren, Olof, Johansson, Richard

“…We present a model for predicting inflected word forms based on morphological analogies. Previous work includes rule-based algorithms that determine and copy…”
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Sustainable solvent extraction of gold and other metals with biomass chemicals by Foreman, Mark R. StJ, Johansson, Richard K, Mariotti, Gloria, Persson, Ingmar, Tebikachew, Behabitu E, Tyumentsev, Mikhail S

“…This paper presents the basis for an industrial gold purification process using an organic phase made from biomass derived organic chemicals is presented. The…”
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Developing Care Professionals: Changing Disability Services in Sweden by Gäddman Johansson, Richard, Hellström Muhli, Ulla

“…In Sweden, professionalization projects in disability care services are currently being undertaken in order to differentiate and establish a professional…”
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Issue Salience on Twitter During Swedish Party Leaders’ Debates by Sandberg, Linn A.C., Bjereld, Ulf, Bunyik, Karina, Forsberg, Markus, Johansson, Richard

“…The objective of this study is to contribute knowledge about formation of political agendas on Twitter during mediated political events, using the party…”
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Performance and perception of haptic feedback in a laparoscopic 3D virtual reality simulator by Hagelsteen, Kristine, Johansson, Richard, Ekelund, Mikael, Bergenfelz, Anders, Anderberg, Magnus

“…Background: The benefit of haptic feedback in laparoscopic virtual reality simulators (VRS) is ambiguous. A previous study found 32% faster acquisition of…”
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How Well Do Large Language Models Disambiguate Swedish Words? by Johansson, Richard

“…We evaluate a battery of recent large language models on two benchmarks for word sense disambiguation in Swedish. At present, all current models are less…”
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What Happens to a Dataset Transformed by a Projection-based Concept Removal Method? by Johansson, Richard

“…We investigate the behavior of methods that use linear projections to remove information about a concept from a language representation, and we consider the…”
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Semi-supervised learning with natural language processing for right ventricle classification in echocardiography—a scalable approach by Hagberg, Eva, Hagerman, David, Johansson, Richard, Hosseini, Nasser, Liu, Jan, Björnsson, Elin, Alvén, Jennifer, Hjelmgren, Ola

“…We created a deep learning model, trained on text classified by natural language processing (NLP), to assess right ventricular (RV) size and function from…”
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Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models by Farahani, Mehrdad, Johansson, Richard

“…Generative language models often struggle with specialized or less-discussed knowledge. A potential solution is found in Retrieval-Augmented Generation (RAG)…”
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An Empirical Study of Multitask Learning to Improve Open Domain Dialogue Systems by Farahani, Mehrdad, Johansson, Richard

“…Autoregressive models used to generate responses in open-domain dialogue systems often struggle to take long-term context into account and to maintain…”
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Controlling for Stereotypes in Multimodal Language Model Evaluation by Malik, Manuj, Johansson, Richard

“…We propose a methodology and design two benchmark sets for measuring to what extent language-and-vision language models use the visual signal in the presence…”
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How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input? by Hagström, Lovisa, Johansson, Richard

“…Current language models have been criticised for learning language from text alone without connection between words and their meaning. Consequently, multimodal…”
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What do Models Learn From Training on More Than Text? Measuring Visual Commonsense Knowledge by Hagström, Lovisa, Johansson, Richard

“…There are limitations in learning language from text alone. Therefore, recent focus has been on developing multimodal models. However, few benchmarks exist…”
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Developing care professionals - changing disability services in Sweden by Johansson, Richard Gäddman, Muhli, Ulla Hellström

“…Inneholder sammendrag…”
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Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion by Saynova, Denitsa, Hagström, Lovisa, Johansson, Moa, Johansson, Richard, Kuhlmann, Marco

“…Previous interpretations of language models (LMs) miss important distinctions in how these models process factual information. For example, given the query…”
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Visions and open challenges for a knowledge-based culturomics by Tahmasebi, Nina, Borin, Lars, Capannini, Gabriele, Dubhashi, Devdatt, Exner, Peter, Forsberg, Markus, Gossen, Gerhard, Johansson, Fredrik D., Johansson, Richard, Kågebäck, Mikael, Mogren, Olof, Nugues, Pierre, Risse, Thomas

“…The concept of culturomics was born out of the availability of massive amounts of textual data and the interest to make sense of cultural and language…”
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Conceptualizing Treatment Leakage in Text-based Causal Inference by Daoud, Adel, Jerzak, Connor T, Johansson, Richard

“…Causal inference methods that control for text-based confounders are becoming increasingly important in the social sciences and other disciplines where text is…”
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The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models by Hagström, Lovisa, Saynova, Denitsa, Norlund, Tobias, Johansson, Moa, Johansson, Richard

“…Large Language Models (LLMs) make natural interfaces to factual knowledge, but their usefulness is limited by their tendency to deliver inconsistent answers to…”
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Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language Models by Doostmohammadi, Ehsan, Norlund, Tobias, Kuhlmann, Marco, Johansson, Richard

“…Augmenting language models with a retrieval mechanism has been shown to significantly improve their performance while keeping the number of parameters low…”
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