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 …

[HTML][HTML] Learning towards conversational AI: A survey

T Fu, S Gao, X Zhao, J Wen, R Yan - AI Open, 2022 - Elsevier
Recent years have witnessed a surge of interest in the field of open-domain dialogue.
Thanks to the rapid development of social media, large dialogue corpus from the Internet …

[PDF][PDF] Detection of esophageal cancer lesions based on CBAM faster R-CNN

B Liu, X Zhao, H Hu, Q Lin… - Journal of Theory and …, 2023 - pdfs.semanticscholar.org
Esophageal cancer is a common malignant tumor in daily life, which seriously affects human
health. Esophageal cancer in China. The incidence rate is among the highest in the world …

Construction and application of artificial intelligence crowdsourcing map based on multi-track GPS data

Y Wang, Y Zhou, H Ji, Z He… - 2024 7th International …, 2024 - ieeexplore.ieee.org
In recent years, the rapid development of high-precision map technology combined with
artificial intelligence has ushered in a new development opportunity in the field of intelligent …

Charactereval: A chinese benchmark for role-playing conversational agent evaluation

Q Tu, S Fan, Z Tian, R Yan - arxiv preprint arxiv:2401.01275, 2024 - arxiv.org
Recently, the advent of large language models (LLMs) has revolutionized generative
agents. Among them, Role-Playing Conversational Agents (RPCAs) attract considerable …

The random forest model for analyzing and forecasting the us stock market in the context of smart finance

J Zheng, D **n, Q Cheng, M Tian, L Yang - arxiv preprint arxiv …, 2024 - arxiv.org
The stock market is a crucial component of the financial market, playing a vital role in wealth
accumulation for investors, financing costs for listed companies, and the stable development …

Knowledge-grounded dialogue generation with a unified knowledge representation

Y Li, B Peng, Y Shen, Y Mao, L Liden, Z Yu… - arxiv preprint arxiv …, 2021 - arxiv.org
Knowledge-grounded dialogue systems are challenging to build due to the lack of training
data and heterogeneous knowledge sources. Existing systems perform poorly on unseen …

Think before you speak: Explicitly generating implicit commonsense knowledge for response generation

P Zhou, K Gopalakrishnan, B Hedayatnia, S Kim… - arxiv preprint arxiv …, 2021 - arxiv.org
Implicit knowledge, such as common sense, is key to fluid human conversations. Current
neural response generation (RG) models are trained to generate responses directly …

Multimodal dialogue response generation

Q Sun, Y Wang, C Xu, K Zheng, Y Yang, H Hu… - arxiv preprint arxiv …, 2021 - arxiv.org
Responsing with image has been recognized as an important capability for an intelligent
conversational agent. Yet existing works only focus on exploring the multimodal dialogue …

[PDF][PDF] Who Says What to Whom: A Survey of Multi-Party Conversations.

JC Gu, C Tao, ZH Ling - IJCAI, 2022 - ijcai.org
Multi-party conversations (MPCs) are a more practical and challenging scenario involving
more than two interlocutors. This research topic has drawn significant attention from both …