A Transformer can learn to decode QR codes from bit strings, outperforming standard error correction on corrupted codes by exploiting language structure, but only under a simplified fixed-mask setup.
Learning the greatest common divisor: explaining transformer predictions
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Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding
A Transformer can learn to decode QR codes from bit strings, outperforming standard error correction on corrupted codes by exploiting language structure, but only under a simplified fixed-mask setup.