Continuous QA Learning with Structured Prompts

arXiv:2208.14602v3 Announce Type: replace-cross
Abstract: QA models with lifelong learning (LL) abilities are important for practical QA applications, and architecture-based LL methods are reported to be an effective implementation for these models. However, it is non-trivial to extend previous approaches to QA tasks since they either require access to task identities in the testing phase or do not explicitly model samples from unseen tasks. In this paper, we propose Diana: a dynamic architecture-based lifelong QA model that tries to learn …

abstract applications architecture arxiv continuous cs.ai cs.cl cs.lg however implementation lifelong learning practical prompts tasks testing type