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An Input-Dependent Readout Phase for Resonant Sequence Models
Not provided in the abstract
sequence modelsmemory retrievalparameter efficiency
2610.12496
Builder Relevance
2h ago70%
Abstract
The paper proposes an input-dependent readout phase for resonant sequence models that enhances memory retrieval without significantly increasing parameter count.
Reality Card
Core Claim
The input-dependent phase improves performance on longer sequences, reducing perplexity from 12.81 to 3.76 when tested beyond training length.
Method / Result
Achieved a perplexity reduction from 12.81 to 3.76 on 1024 tokens after training on 256 tokens.
Limitations
The learned phase does not improve retrieval and is limited by the model's exposure to training history.
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