Topical-chat: Towards knowledge-grounded open-domain conversations

K Gopalakrishnan, B Hedayatnia, Q Chen… - ar** effective educational chatbots with chatgpt prompts: Insights from preliminary tests in a case study on social media literacy
C Koyuturk, M Yavari, E Theophilou, S Bursic… - arxiv preprint arxiv …, 2023 - arxiv.org
Educational chatbots come with a promise of interactive and personalized learning
experiences, yet their development has been limited by the restricted free interaction …

Predictive engagement: An efficient metric for automatic evaluation of open-domain dialogue systems

S Ghazarian, R Weischedel, A Galstyan… - Proceedings of the AAAI …, 2020 - ojs.aaai.org
User engagement is a critical metric for evaluating the quality of open-domain dialogue
systems. Prior work has focused on conversation-level engagement by using heuristically …

Towards coherent and engaging spoken dialog response generation using automatic conversation evaluators

S Yi, R Goel, C Khatri, A Cervone, T Chung… - arxiv preprint arxiv …, 2019 - arxiv.org
Encoder-decoder based neural architectures serve as the basis of state-of-the-art
approaches in end-to-end open domain dialog systems. Since most of such systems are …

Spot the bot: A robust and efficient framework for the evaluation of conversational dialogue systems

J Deriu, D Tuggener, P Von Däniken… - arxiv preprint arxiv …, 2020 - arxiv.org
The lack of time-efficient and reliable evaluation methods hamper the development of
conversational dialogue systems (chatbots). Evaluations requiring humans to converse with …