KGI: An Integrated Framework for Knowledge Intensive Language Tasks. (arXiv:2204.03985v2 [cs.CL] UPDATED)

In this paper, we present a system to showcase the capabilities of the latest
state-of-the-art retrieval augmented generation models trained on
knowledge-intensive language tasks, such as slot filling, open domain question
answering, dialogue, and fact-checking. Moreover, given a user query, we show
how the output from these different models can be combined to cross-examine the
outputs of each other. Particularly, we show how accuracy in dialogue can be
improved using the question answering model. We are also releasing all models …

arxiv framework knowledge language