Difficulty Aware Compute Allocation

Learning Difficulty Aware Length Controlfor Efficient Hybrid Reasoning Models

Edmund and Geffen dig into When2Think, a framework that teaches large reasoning models to spend fewer tokens on easy math problems while still thinking deeply on hard ones, using a clever difficulty-aware reward signal instead of a separate controller or reward model.