Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability

Chiwei Zhu, Benfeng Xu, An Yang +4

Training language models with rationales augmentation has been shown to be beneficial in many existing works. In this paper, we identify that such a prevailing view does not hold c…