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Arxiv
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Born a Transformer -- Always a Transformer?
- Transformers have theoretical limitations in modeling certain sequence-to-sequence tasks.
- It is unclear if these limitations affect large-scale pretrained Language Models (LLMs).
- Pretraining enhances some Transformer capabilities but does not overcome length-generalization limits.
- Empirical observations show an asymmetry in retrieval tasks, favoring induction over anti-induction.
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