SSM code models capture code syntax and semantics better than Transformers before fine-tuning, forget short-range structure when fine-tuned on type inference, and an added high-frequency path or more kernels recovers most of the loss.
SMR : State memory replay for long sequence modeling
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Towards Understanding What State Space Models Learn About Code
SSM code models capture code syntax and semantics better than Transformers before fine-tuning, forget short-range structure when fine-tuned on type inference, and an added high-frequency path or more kernels recovers most of the loss.