Research Explores Dynamic Compression in RNNs for In-Context Continual Learning

A new study explores dynamic compression in RNNs for in-context continual learning. Unlike traditional RNNs where each token is written to memory only once, the approach lets models rewrite memory when content needs to be reused.

2026-08-21 ~ 2026-08-21 · 2 related posts