2 citations · 6 across the 6 of their papers we have counts for
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cs.CL2023★ 1 cited
DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems
Qingyang Wu, James Gung, Raphael Shu +1
Dialogue act annotations are important to improve response generation quality in task-oriented dialogue systems. However, it can be challenging to use dialogue acts to control resp…
cs.CL2023★ 2 cited
Using Textual Interface to Align External Knowledge for End-to-End Task-Oriented Dialogue Systems
Qingyang Wu, Deema Alnuhait, Derek Chen +1
Traditional end-to-end task-oriented dialogue systems have been built with a modularized design. However, such design often causes misalignment between the agent response and exter…