  This paper introduces a novel training methodology that enables a Transformer
model to generalize the addition of two-digit numbers to numbers with unseen
lengths of digits. The proposed approach employs an autoregressive generation
technique, processing from right to left, which mimics a common manual method
for adding large numbers. To the best of my knowledge, this methodology has not
been previously explored in the literature. All results are reproducible, and
the corresponding R code is available at github.com/AGPatriota/ALGA-R/.
