4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 4 cited
User Simulation with Large Language Models for Evaluating Task-Oriented Dialogue
Sam Davidson, Salvatore Romeo, Raphael Shu +4
One of the major impediments to the development of new task-oriented dialogue (TOD) systems is the need for human evaluation at multiple stages and iterations of the development pr…
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★ 3 cited
Intent Induction from Conversations for Task-Oriented Dialogue Track at DSTC 11
James Gung, Raphael Shu, Emily Moeng +6
With increasing demand for and adoption of virtual assistants, recent work has investigated ways to accelerate bot schema design through the automatic induction of intents or the i…