Boris Ginsburg

Latent recurrent models now match non-recurrent baselines at one loop, unlocking compute-for-accuracy scaling without the prior "one-loop tax."

A single, lightweight model-internal mechanism can effectively bridge the gap between corpus retrieval and long-context inference, outperforming specialized SOTA systems on both.

This work proposes an efficient method to add streaming ASR capabilities to an existing duplex S2S model by introducing a lightweight ASR head in parallel to the agent text head, enabling real-time user transcription while preserving full-duplex conversational capabilities including turn-taking and barge-in handling.