When large language models meet personalization: Perspectives of challenges and opportunities

J Chen, Z Liu, X Huang, C Wu, Q Liu, G Jiang, Y Pu… - World Wide Web, 2024 - Springer
The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …

A literature survey of recent advances in chatbots

G Caldarini, S Jaf, K McGarry - Information, 2022 - mdpi.com
Chatbots are intelligent conversational computer systems designed to mimic human
conversation to enable automated online guidance and support. The increased benefits of …

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 …

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 …

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 …

Mass: Masked sequence to sequence pre-training for language generation

K Song, X Tan, T Qin, J Lu, TY Liu - arxiv preprint arxiv:1905.02450, 2019 - arxiv.org
Pre-training and fine-tuning, eg, BERT, have achieved great success in language
understanding by transferring knowledge from rich-resource pre-training task to the low/zero …

Neural machine translation: A review

F Stahlberg - Journal of Artificial Intelligence Research, 2020 - jair.org
The field of machine translation (MT), the automatic translation of written text from one
natural language into another, has experienced a major paradigm shift in recent years …

The design and implementation of xiaoice, an empathetic social chatbot

L Zhou, J Gao, D Li, HY Shum - Computational Linguistics, 2020 - direct.mit.edu
This article describes the development of Microsoft **aoIce, the most popular social chatbot
in the world. **aoIce is uniquely designed as an artifical intelligence companion with an …

Neural approaches to conversational AI

J Gao, M Galley, L Li - The 41st international ACM SIGIR conference on …, 2018 - dl.acm.org
This tutorial surveys neural approaches to conversational AI that were developed in the last
few years. We group conversational systems into three categories:(1) question answering …

Charting the evolution and future of conversational agents: A research agenda along five waves and new frontiers

S Schöbel, A Schmitt, D Benner, M Saqr… - Information Systems …, 2024 - Springer
Conversational agents (CAs) have come a long way from their first appearance in the 1960s
to today's generative models. Continuous technological advancements such as statistical …