Mixed-initiative dialogue tasks involve repeated exchanges of informatio...
Existing approaches built separate classifiers to detect nonsense in
dia...
Deployed dialogue agents have the potential to integrate human feedback ...
Dialogue systems capable of social influence such as persuasion, negotia...
With the increasing adoption of NLP models in real-world products, it be...
Effective human-chatbot conversations need to achieve both coherence and...
With the increasing adoption of language models in applications involvin...
In recent years, chatbots have been empowered to engage in social
conver...
We present LEGOEval, an open-source toolkit that enables researchers to
...
Building a socially intelligent agent involves many challenges, one of w...
Despite the recent success of large-scale language models on various
dow...
Inducing a meaningful structural representation from one or a set of
dia...
The recent success of large pre-trained language models such as BERT and...
Intelligent conversational agents, or chatbots, can take on various
iden...
End-to-end task-oriented dialog models have achieved promising performan...
User simulators are essential for training reinforcement learning (RL) b...
Developing intelligent persuasive conversational agents to change people...
Learning a shared dialog structure from a set of task-oriented dialogs i...
End-to-end learning framework is useful for building dialog systems for ...