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CAMEL investigates external residual memory for small language models intended for CPU execution. The main study uses a recurrent byte-level student with two compiled memories: an exact surface 4-gram memory and a learned latent residual memory. A 32-byte table selects between the two using support-count bins.On three...
CAMEL investigates external residual memory for small language models intended for CPU execution. The main study uses a recurrent byte-level student with two compiled memories: an exact surface 4-gram memory and a learned latent residual memory. A 32-byte table selects between the two using support-count bins.On three...
Posterior Ontology Memory (POM) models uncertainty in the vocabulary used by a symbolic memory, rather than assuming that its semantic schema is fixed. It treats mappings from surface predicates to latent semantic categories as uncertain and carries that uncertainty into prediction. The model combines a partition prior...
Posterior Ontology Memory (POM) models uncertainty in the vocabulary used by a symbolic memory, rather than assuming that its semantic schema is fixed. It treats mappings from surface predicates to latent semantic categories as uncertain and carries that uncertainty into prediction. The model combines a partition prior...
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