Web: http://arxiv.org/abs/2205.03692

May 12, 2022, 1:11 a.m. | Abraham Sanders, Tomek Strzalkowski, Mei Si, Albert Chang, Deepanshu Dey, Jonas Braasch, Dakuo Wang

cs.CL updates on arXiv.org arxiv.org

Recent advances in large-scale language modeling and generation have enabled
the creation of dialogue agents that exhibit human-like responses in a wide
range of conversational scenarios spanning a diverse set of tasks, from general
chit-chat to focused goal-oriented discourse. While these agents excel at
generating high-quality responses that are relevant to prior context, they
suffer from a lack of awareness of the overall direction in which the
conversation is headed, and the likelihood of task success inherent therein.
Thus, we …

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