Conversational agents: Goals, technologies, vision and challenges

M Allouch, A Azaria, R Azoulay - Sensors, 2021 - mdpi.com
In recent years, conversational agents (CAs) have become ubiquitous and are a presence in
our daily routines. It seems that the technology has finally ripened to advance the use of CAs …

[HTML][HTML] A survey on near-human conversational agents

S Singh, H Beniwal - Journal of King Saud University-Computer and …, 2022 - Elsevier
Conversational AI intends for machine-human interactions to appear and feel more natural
and inclined to communicate in a near-human context. Chatbots, also known as …

Lamda: Language models for dialog applications

R Thoppilan, D De Freitas, J Hall, N Shazeer… - arXiv preprint arXiv …, 2022 - arxiv.org
We present LaMDA: Language Models for Dialog Applications. LaMDA is a family of
Transformer-based neural language models specialized for dialog, which have up to 137B …

Conversational ai: The science behind the alexa prize

A Ram, R Prasad, C Khatri, A Venkatesh… - arXiv preprint arXiv …, 2018 - arxiv.org
Conversational agents are exploding in popularity. However, much work remains in the area
of social conversation as well as free-form conversation over a broad range of domains and …

What makes a good conversation? how controllable attributes affect human judgments

A See, S Roller, D Kiela, J Weston - arXiv preprint arXiv:1902.08654, 2019 - arxiv.org
A good conversation requires balance--between simplicity and detail; staying on topic and
changing it; asking questions and answering them. Although dialogue agents are commonly …

Acute-eval: Improved dialogue evaluation with optimized questions and multi-turn comparisons

M Li, J Weston, S Roller - arXiv preprint arXiv:1909.03087, 2019 - arxiv.org
While dialogue remains an important end-goal of natural language research, the difficulty of
evaluation is an oft-quoted reason why it remains troublesome to make real progress …

Human evaluation of conversations is an open problem: comparing the sensitivity of various methods for evaluating dialogue agents

EM Smith, O Hsu, R Qian, S Roller, YL Boureau… - arXiv preprint arXiv …, 2022 - arxiv.org
At the heart of improving conversational AI is the open problem of how to evaluate
conversations. Issues with automatic metrics are well known (Liu et al., 2016, arXiv …

A comprehensive assessment of dialog evaluation metrics

YT Yeh, M Eskenazi, S Mehri - arXiv preprint arXiv:2106.03706, 2021 - arxiv.org
Automatic evaluation metrics are a crucial component of dialog systems research. Standard
language evaluation metrics are known to be ineffective for evaluating dialog. As such …

Gender stereotypes in virtual agents

P Nag, ÖN Yalçın - Proceedings of the 20th ACM International …, 2020 - dl.acm.org
Visual, behavioral and verbal cues for gender are often used in designing virtual agents to
take advantage of their stereotypical effects on the users. However, recent studies point …

Communicability of traditional interfaces VS chatbots in healthcare and smart home domains

S Valtolina, BR Barricelli… - Behaviour & Information …, 2020 - Taylor & Francis
This paper presents a study about communicability of conversational interfaces (namely
chatbots) under a semiotic perspective. A chatbot is a software system that allows you to …