ALPHAONE: A Universal Test-Time Framework for Modulating Reasoning in AI Models

The development of ALPHAONE introduces a universal test-time framework designed to dynamically modulate reasoning in large language models by mimicking human dual-mode cognitionrapid, intuitive responses for simpler tasks and slower, deliberate thinking for complex problems. This approach addresses a key limitation in existing reasoning models, which often struggle to self-regulate the transition between these modes, leading to inefficiencies and errors in high-stakes applications such as mathematics and scientific analysis. By implementing adaptive mechanisms that adjust the models reasoning process based on task complexity, ALPHAONE aims to optimize accuracy and computational efficiency. It builds upon previous strategies