Search Results for author: Dan Saattrup Nielsen

Found 6 papers, 4 papers with code

Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU Tasks

2 code implementations19 Jun 2024 Dan Saattrup Nielsen, Kenneth Enevoldsen, Peter Schneider-Kamp

This paper explores the performance of encoder and decoder language models on multilingual Natural Language Understanding (NLU) tasks, with a broad focus on Germanic languages.

Decoder Language Modelling +2

ScandEval: A Benchmark for Scandinavian Natural Language Processing

1 code implementation3 Apr 2023 Dan Saattrup Nielsen

This paper introduces a Scandinavian benchmarking platform, ScandEval, which can benchmark any pretrained model on four different tasks in the Scandinavian languages.

Benchmarking Cross-Lingual Transfer +2

Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda

no code implementations5 Oct 2022 Andrés Domínguez Hernández, Richard Owen, Dan Saattrup Nielsen, Ryan McConville

We conclude by offering a tentative path toward reflexive and responsible development of ML tools for moderating misinformation and other harmful content online.

Misinformation

Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap

2 code implementations27 Jan 2022 Carlos Mougan, Dan Saattrup Nielsen

In this work, we use non-parametric bootstrapped uncertainty estimates and SHAP values to provide explainable uncertainty estimation as a technique that aims to monitor the deterioration of machine learning models in deployment environments, as well as determine the source of model deterioration when target labels are not available.

Prediction Intervals

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