Planning for goal-oriented dialogue often requires simulating future dialogue interactions
and estimating task progress. Many approaches thus consider training neural networks to …

Conversational systems have shown immense growth in their ability to communicate like
humans. With the emergence of large pre-trained language models (PLMs) the ability to …

Previous work on empathetic response generation mainly focused on utilizing the speaker's
emotions to generate responses. However, the performance of identifying fine-grained …

This article presents a new research task and dataset to understand empathetic responses
in conversations between two people. We formulate the empathy prediction problem as a …

Open-domain dialogue systems need to grasp social commonsense to understand and
respond effectively to human users. Commonsense-augmented dialogue models have been …

This research paper introduces the SmartCart Engine, an innovative initiative aimed at
revolutionizing the product validation process for businesses managing bulk orders. The …

The advancement of open-domain dialogue systems represents a significant goal of artificial
intelligence, aiming to create more engaging and human-like interactions between …