[HTML][HTML] Chatbots: History, technology, and applications

E Adamopoulou, L Moussiades - Machine Learning with applications, 2020 - Elsevier
This literature review presents the History, Technology, and Applications of Natural Dialog
Systems or simply chatbots. It aims to organize critical information that is a necessary …

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 …

What Makes Good In-Context Examples for GPT-?

J Liu, D Shen, Y Zhang, B Dolan, L Carin… - arXiv preprint arXiv …, 2021 - arxiv.org
GPT-$3 $ has attracted lots of attention due to its superior performance across a wide range
of NLP tasks, especially with its powerful and versatile in-context few-shot learning ability …

Service chatbots: A systematic review

SM Suhaili, N Salim, MN Jambli - Expert Systems with Applications, 2021 - Elsevier
Chatbots or Conversational agents are the next significant technological leap in the field of
conversational services, that is, enabling a device to communicate with a user upon …

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 …

Lift yourself up: Retrieval-augmented text generation with self-memory

X Cheng, D Luo, X Chen, L Liu… - Advances in Neural …, 2024 - proceedings.neurips.cc
With direct access to human-written reference as memory, retrieval-augmented generation
has achieved much progress in a wide range of text generation tasks. Since better memory …

Emotional chatting machine: Emotional conversation generation with internal and external memory

H Zhou, M Huang, T Zhang, X Zhu, B Liu - Proceedings of the AAAI …, 2018 - ojs.aaai.org
Perception and expression of emotion are key factors to the success of dialogue systems or
conversational agents. However, this problem has not been studied in large-scale …

Challenges in building intelligent open-domain dialog systems

M Huang, X Zhu, J Gao - ACM Transactions on Information Systems …, 2020 - dl.acm.org
There is a resurgent interest in developing intelligent open-domain dialog systems due to
the availability of large amounts of conversational data and the recent progress on neural …

A survey on retrieval-augmented text generation

H Li, Y Su, D Cai, Y Wang, L Liu - arXiv preprint arXiv:2202.01110, 2022 - arxiv.org
Recently, retrieval-augmented text generation attracted increasing attention of the
computational linguistics community. Compared with conventional generation models …

Generating sentences by editing prototypes

K Guu, TB Hashimoto, Y Oren, P Liang - Transactions of the …, 2018 - direct.mit.edu
We propose a new generative language model for sentences that first samples a prototype
sentence from the training corpus and then edits it into a new sentence. Compared to …