Faithful Chain-of-Thought ensures reasoning chains accurately reflect the model's thought process by converting natural language queries into symbolic reasoning chains with Python, and then uses a deterministic solver to find the final answer.
Provide the model with a few examples that demonstrate ideal reasoning chains.
The simplest way to implement Chain-of-Thought reasoning. Just add language that prompts the model to demonstrate reasoning.
