2 papers
cs.CL2026
Revising RVL-CDIP: Quantifying Errors and Test-Train Overlap
Stefan Larson, Attila Nagy, Sam Desai +8
RVL-CDIP is a popular dataset for benchmarking document classifiers. However, the dataset contains ample amounts of label errors as well as non-trivial amounts of test-train overla…
cs.CL2025
From Scarcity to Efficiency: Investigating the Effects of Data Augmentation on African Machine Translation
Mardiyyah Oduwole, Oluwatosin Olajide, Jamiu Suleiman +9
The linguistic diversity across the African continent presents different challenges and opportunities for machine translation. This study explores the effects of data augmentation…