RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations

Yilun Zhao, Chen Zhao, Linyong Nan +5

Despite significant progress having been made in question answering on tabular data (Table QA), it's unclear whether, and to what extent existing Table QA models are robust to task…