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 …
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 …
Multi-task pre-training for plug-and-play task-oriented dialogue system
Pre-trained language models have been recently shown to benefit task-oriented dialogue
(TOD) systems. Despite their success, existing methods often formulate this task as a …
(TOD) systems. Despite their success, existing methods often formulate this task as a …
In-context learning for few-shot dialogue state tracking
Collecting and annotating task-oriented dialogues is time-consuming and costly; thus, zero
and few shot learning could greatly benefit dialogue state tracking (DST). In this work, we …
and few shot learning could greatly benefit dialogue state tracking (DST). In this work, we …
Mintl: Minimalist transfer learning for task-oriented dialogue systems
In this paper, we propose Minimalist Transfer Learning (MinTL) to simplify the system design
process of task-oriented dialogue systems and alleviate the over-dependency on annotated …
process of task-oriented dialogue systems and alleviate the over-dependency on annotated …
Trippy: A triple copy strategy for value independent neural dialog state tracking
Task-oriented dialog systems rely on dialog state tracking (DST) to monitor the user's goal
during the course of an interaction. Multi-domain and open-vocabulary settings complicate …
during the course of an interaction. Multi-domain and open-vocabulary settings complicate …
Soloist: Building Task Bots at Scale with Transfer Learning and Machine Teaching
We present a new method, Soloist, that uses transfer learning and machine teaching to build
task bots at scale. We parameterize classical modular task-oriented dialog systems using a …
task bots at scale. We parameterize classical modular task-oriented dialog systems using a …
Leveraging slot descriptions for zero-shot cross-domain dialogue state tracking
Zero-shot cross-domain dialogue state tracking (DST) enables us to handle task-oriented
dialogue in unseen domains without the expense of collecting in-domain data. In this paper …
dialogue in unseen domains without the expense of collecting in-domain data. In this paper …
Multiwoz 2.4: A multi-domain task-oriented dialogue dataset with essential annotation corrections to improve state tracking evaluation
The MultiWOZ 2.0 dataset has greatly stimulated the research of task-oriented dialogue
systems. However, its state annotations contain substantial noise, which hinders a proper …
systems. However, its state annotations contain substantial noise, which hinders a proper …
Dialogue state tracking with a language model using schema-driven prompting
Task-oriented conversational systems often use dialogue state tracking to represent the
user's intentions, which involves filling in values of pre-defined slots. Many approaches have …
user's intentions, which involves filling in values of pre-defined slots. Many approaches have …