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20182023
most citedAddressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda

15 citations · 31 across the 6 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.LG2023

Model Agnostic Explainable Selective Regression via Uncertainty Estimation

Andrea Pugnana, Carlos Mougan, Dan Saattrup Nielsen

With the wide adoption of machine learning techniques, requirements have evolved beyond sheer high performance, often requiring models to be trustworthy. A common approach to incre…

cs.CL2023★ 5 cited

ScandEval: A Benchmark for Scandinavian Natural Language Processing

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. The datasets…