4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2021
Benchmarking down-scaled (not so large) pre-trained language models
M. Aßenmacher, P. Schulze, C. Heumann
Large Transformer-based language models are pre-trained on corpora of varying sizes, for a different number of steps and with different batch sizes. At the same time, more fundamen…
cs.CL2021★ 4 cited
A Bayesian approach to modeling topic-metadata relationships
P. Schulze, S. Wiegrebe, P. W. Thurner +2
The objective of advanced topic modeling is not only to explore latent topical structures, but also to estimate relationships between the discovered topics and theoretically releva…