4/ Escaping the Verifier: Learning to Reason via Demonstrations (RARO) Paper: https://arxiv.org/abs/2511.21667

RARO (Reasoning via Demonstrations) is a method for training AI models to improve reasoning capabilities by learning from demonstrations rather than relying solely on external verifiers. The approach aims to enable models to develop stronger reasoning abilities by studying examples of correct reasoning processes, potentially reducing dependency on verification systems during inference. This paper from Together AI explores how models can escape verifier constraints while maintaining reasoning quality through demonstration-based learning.

Source: Together AI (X) | 2026-07-01