Haocheng Wang

Penelope: Localized Latent Recurrence for Efficient Structured Reasoning

Penelope is introduced, an efficient latent-reasoning framework for pretrained decoder-only Transformers that localizes recurrent computation to a selected decoder interval and attains competitive accuracy relative to established latent-reasoning models while reducing measured inference latency.