Two pretrained language models coupled via a trainable hidden-state interface with a learned suppression gate achieve large gains on tool-augmented tasks by communicating continuously rather than through text.
product of primes in a range, reduced modulo 16
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The Bicameral Model: Bidirectional Hidden-State Coupling Between Parallel Language Models
Two pretrained language models coupled via a trainable hidden-state interface with a learned suppression gate achieve large gains on tool-augmented tasks by communicating continuously rather than through text.