19 citations · 62 across the 17 of their papers we have counts for
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cs.LG2023
Curriculum Learning with Adam: The Devil Is in the Wrong Details
Lucas Weber, Jaap Jumelet, Paul Michel +2
Curriculum learning (CL) posits that machine learning models -- similar to humans -- may learn more efficiently from data that match their current learning progress. However, CL me…
cs.CL2023★ 6 cited
Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses
Xenia Ohmer, Elia Bruni, Dieuwke Hupkes
At the staggering pace with which the capabilities of large language models (LLMs) are increasing, creating future-proof evaluation sets to assess their understanding becomes more…