REFINER is an interaction-based framework for natural language reasoning tasks. It has a CRITIC model that provides structured feedback on intermediate reasoning steps, and a GENERATOR model that solves the reasoning task by first generating intermediate steps. The core idea is the interaction between the generator and critic, where the generator's steps are improved via feedback from the critic.
This page was last edited on 2024-05-03.
This page was last edited on 2024-05-03.