Jinghui Lu

A Rationale-Centric Framework for Human-in-the-loop Machine Learning

2022 · arXiv (Cornell University)

We present a novel rationale-centric framework with human-in-the-loop -- Rationales-centric Double-robustness Learning (RDL) -- to boost model out-of-distribution performance in few-shot learning scenarios. By using static semi-factual generation and dynamic human-intervened correction, RDL exploits rationales …