A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?
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 …
everywhere because of its ability to analyze and create text, images, and beyond. With such …
A review of ai-driven conversational chatbots implementation methodologies and challenges (1999–2022)
A conversational chatbot or dialogue system is a computer program designed to simulate
conversation with human users, especially over the Internet. These chatbots can be …
conversation with human users, especially over the Internet. These chatbots can be …
[HTML][HTML] Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic bot
Intelligent diagnosis processes rely on Artificial Intelligence (AI) techniques to provide
possible diagnoses by analyzing patient data and medical information. To make accurate …
possible diagnoses by analyzing patient data and medical information. To make accurate …
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 …
Efficient intent detection with dual sentence encoders
I Casanueva, T Temčinas, D Gerz… - arXiv preprint arXiv …, 2020 - arxiv.org
Building conversational systems in new domains and with added functionality requires
resource-efficient models that work under low-data regimes (ie, in few-shot setups) …
resource-efficient models that work under low-data regimes (ie, in few-shot setups) …
TOD-BERT: Pre-trained natural language understanding for task-oriented dialogue
The underlying difference of linguistic patterns between general text and task-oriented
dialogue makes existing pre-trained language models less useful in practice. In this work …
dialogue makes existing pre-trained language models less useful in practice. In this work …
Hello, it's GPT-2--how can I help you? towards the use of pretrained language models for task-oriented dialogue systems
P Budzianowski, I Vulić - arXiv preprint arXiv:1907.05774, 2019 - arxiv.org
Data scarcity is a long-standing and crucial challenge that hinders quick development of
task-oriented dialogue systems across multiple domains: task-oriented dialogue models are …
task-oriented dialogue systems across multiple domains: task-oriented dialogue models are …
ConveRT: Efficient and accurate conversational representations from transformers
General-purpose pretrained sentence encoders such as BERT are not ideal for real-world
conversational AI applications; they are computationally heavy, slow, and expensive to train …
conversational AI applications; they are computationally heavy, slow, and expensive to train …
Semantic models for the first-stage retrieval: A comprehensive review
Multi-stage ranking pipelines have been a practical solution in modern search systems,
where the first-stage retrieval is to return a subset of candidate documents and latter stages …
where the first-stage retrieval is to return a subset of candidate documents and latter stages …
Fast, effective, and self-supervised: Transforming masked language models into universal lexical and sentence encoders
Pretrained Masked Language Models (MLMs) have revolutionised NLP in recent years.
However, previous work has indicated that off-the-shelf MLMs are not effective as universal …
However, previous work has indicated that off-the-shelf MLMs are not effective as universal …