Web: http://arxiv.org/abs/2204.03985

Sept. 23, 2022, 1:16 a.m. | Md Faisal Mahbub Chowdhury, Michael Glass, Gaetano Rossiello, Alfio Gliozzo, Nandana Mihindukulasooriya

cs.CL updates on arXiv.org arxiv.org

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

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