16 citations · 30 across the 11 of their papers we have counts for
Showing 2022 · cs.CLShow all
2 papers · 2 filters
cs.CL2022★ 5 cited
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish
Łukasz Augustyniak, Kamil Tagowski, Albert Sawczyn +9
The availability of compute and data to train larger and larger language models increases the demand for robust methods of benchmarking the true progress of LM training. Recent yea…
cs.CL2022
Assessment of Massively Multilingual Sentiment Classifiers
Krzysztof Rajda, Łukasz Augustyniak, Piotr Gramacki +3
Models are increasing in size and complexity in the hunt for SOTA. But what if those 2\% increase in performance does not make a difference in a production use case? Maybe benefits…