Actor-Critic Network for Q&A in an Adversarial Environment. (arXiv:2201.00455v1 [cs.CL])

Significant work has been placed in the Q&A NLP space to build models that
are more robust to adversarial attacks. Two key areas of focus are in
generating adversarial data for the purposes of training against these
situations or modifying existing architectures to build robustness within. This
paper introduces an approach that joins these two ideas together to train a
critic model for use in an almost reinforcement learning framework. Using the
Adversarial SQuAD "Add One Sent" dataset we show …

arxiv environment