Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning

Renos Zabounidis, Aditya Golatkar, Michael Kleinman +3

We propose Re-FORC, an adaptive reward prediction method that, given a query, enables prediction of the expected future rewards as a function of the number of future thinking token…