Penelope: Localized Latent Recurrence for Efficient Structured Reasoning

In 30 Sekunden

Was passiert ist

Penelope is a framework that performs structured reasoning inside transformer decoder layers using localized recurrent computation instead of visible chain-of-thought tokens.

Warum es zählt

Matters for engineers optimizing inference latency and cost on reasoning tasks where chain-of-thought expansion significantly increases output length.

Achtung

Results shown on open-source benchmarks only. Unclear how well latent reasoning generalizes to domains beyond structured reasoning or to different model scales.