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Transformers often struggle with length generalization, meaning they fail to generalize to sequences longer than those encountered during training.
Adam: A method for stochastic optimization
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Exploring length generalization in large language models
Cem Anil, Yuhuai Wu, Anders Andreassen, Aitor Lewkowycz, Vedant Misra, Vinay Ramasesh, Ambrose Slone, Guy Gur-Ari, Ethan Dyer, and Behnam Neyshabur · 2022
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Improving length-generalization in transformers via task hinting
Randomized positional encodings boost length generalization of transformers
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Positional description matters for transformers arithmetic
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