A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?

C Zhang, C Zhang, S Zheng, Y Qiao, C Li… - arxiv preprint arxiv …, 2023 - arxiv.org
As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …

A survey on dialogue systems: Recent advances and new frontiers

H Chen, X Liu, D Yin, J Tang - Acm Sigkdd Explorations Newsletter, 2017 - dl.acm.org
Dialogue systems have attracted more and more attention. Recent advances on dialogue
systems are overwhelmingly contributed by deep learning techniques, which have been …

Recent advances in deep learning based dialogue systems: A systematic survey

J Ni, T Young, V Pandelea, F Xue… - Artificial intelligence review, 2023 - Springer
Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

Experience grounds language

Y Bisk, A Holtzman, J Thomason, J Andreas… - arxiv preprint arxiv …, 2020 - arxiv.org
Language understanding research is held back by a failure to relate language to the
physical world it describes and to the social interactions it facilitates. Despite the incredible …

Transfertransfo: A transfer learning approach for neural network based conversational agents

T Wolf, V Sanh, J Chaumond, C Delangue - arxiv preprint arxiv …, 2019 - arxiv.org
We introduce a new approach to generative data-driven dialogue systems (eg chatbots)
called TransferTransfo which is a combination of a Transfer learning based training scheme …

What makes you continuously use chatbot services? Evidence from chinese online travel agencies

L Li, KY Lee, E Emokpae, SB Yang - Electronic Markets, 2021 - Springer
Thanks to artificial intelligence, chatbots have been applied to many consumer-facing
applications, especially to online travel agencies (OTAs). This study aims to identify five …

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 …

Way off-policy batch deep reinforcement learning of implicit human preferences in dialog

N Jaques, A Ghandeharioun, JH Shen… - arxiv preprint arxiv …, 2019 - arxiv.org
Most deep reinforcement learning (RL) systems are not able to learn effectively from off-
policy data, especially if they cannot explore online in the environment. These are critical …

Ai benchmark: Running deep neural networks on android smartphones

A Ignatov, R Timofte, W Chou, K Wang… - Proceedings of the …, 2018 - openaccess.thecvf.com
Over the last years, the computational power of mobile devices such as smartphones and
tablets has grown dramatically, reaching the level of desktop computers available not long …

Arming the public with artificial intelligence to counter social bots

KC Yang, O Varol, CA Davis, E Ferrara… - Human Behavior …, 2019 - Wiley Online Library
The increased relevance of social media in our daily life has been accompanied by efforts to
manipulate online conversations and opinions. Deceptive social bots—automated or semi …