4 citations · 7 across the 5 of their papers we have counts for
4 papers · 1 filter
Controllable Mixed-Initiative Dialogue Generation through Prompting
Maximillian Chen, Xiao Yu, Weiyan Shi +2
Mixed-initiative dialogue tasks involve repeated exchanges of information and conversational control. Conversational agents gain control by generating responses that follow particu…
Prompt-Based Monte-Carlo Tree Search for Goal-Oriented Dialogue Policy Planning
Xiao Yu, Maximillian Chen, Zhou Yu
Planning for goal-oriented dialogue often requires simulating future dialogue interactions and estimating task progress. Many approaches thus consider training neural networks to p…
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning
Xiao Yu, Qingyang Wu, Kun Qian +1
In task-oriented dialogs (TOD), reinforcement learning (RL) algorithms train a model to directly optimize response for task-related metrics. However, RL needs to perform exploratio…
FastKASSIM: A Fast Tree Kernel-Based Syntactic Similarity Metric
Maximillian Chen, Caitlyn Chen, Xiao Yu +1
Syntax is a fundamental component of language, yet few metrics have been employed to capture syntactic similarity or coherence at the utterance- and document-level. The existing st…