Machine Learning · Aug 15, 2026
BDH-CQ: IN-CONTEXT LEARNING WITH RECURRENT LATENT REASONING [R]
0Sign in to vote or save
This site does not allow itself to be embedded. You can still read it on the original site — the toolbar below keeps your place in the directory.
We introduce BDH-CQ, a reasoning system that brings these capabilities together. Demonstrations of a previously unseen task update recurrent memory; the query is then solved through iterative computation in a high-dimensional latent workspace. Intermediate reasoning states are not decoded into language. BDH-CQ makes memory, adaptation, and inference part of the same computational fabric. Inputs…
Comments
Nothing yet. Say the first thing.
Sign in to join the conversation.