Arbitrary-Length Generalization for Addition in a Tiny Transformer
Autor: | Patriota, Alexandre Galvao |
---|---|
Rok vydání: | 2024 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | 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/. Comment: Testing-Digits.R output with 50-digit numbers (8 pages, 1 figure) |
Databáze: | arXiv |
Externí odkaz: |