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Recent advances in deep learning based dialogue systems: A systematic survey
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 …
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
[HTML][HTML] Learning towards conversational AI: A survey
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 …
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
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 …
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
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 …
artificial intelligence has ushered in a new development opportunity in the field of intelligent …
Charactereval: A chinese benchmark for role-playing conversational agent evaluation
Recently, the advent of large language models (LLMs) has revolutionized generative
agents. Among them, Role-Playing Conversational Agents (RPCAs) attract considerable …
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
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 …
accumulation for investors, financing costs for listed companies, and the stable development …
Knowledge-grounded dialogue generation with a unified knowledge representation
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 …
data and heterogeneous knowledge sources. Existing systems perform poorly on unseen …
Think before you speak: Explicitly generating implicit commonsense knowledge for response generation
Implicit knowledge, such as common sense, is key to fluid human conversations. Current
neural response generation (RG) models are trained to generate responses directly …
neural response generation (RG) models are trained to generate responses directly …
Multimodal dialogue response generation
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 …
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.
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 …
more than two interlocutors. This research topic has drawn significant attention from both …