Calibrating LLM Explanations to Human Decisions with Reinforcement Learning

Dong Shu, Ziyang Guo, Negar Kamali +2

Explanations of LLM outputs are considered an important way to make model behavior legible, helping human users make good decisions on downstream tasks. However, default training a…