[KongchangAI]
ConceptRecurrent Memory

Recurrent Memory

A state-compression mechanism in HyFlash that maintains a fixed-dimensional hidden state through RNN-style gated updates, progressively compressing historical information into a fixed-size vector so that memory usage is independent of sequence length.

Timeline (last 90 days)

Nov 6

HyFlash adopts a dual-path design: the local attention path is responsible for capturing interactions between recent context and draft positions; the recurrent memory path compresses historical target features into a fixed-size state.

Unverified50%
Nov 6

The cost of recurrent memory is limited state capacity, so distant details get diluted, which is why the local attention path is needed to supplement fine-grained information.

Unverified50%

All Facts (2)

Source Articles