• Su et al 2021 - Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System Introduces PPTOD model
• Discovering Latent Structure
  • Shi et al 2019 - Unsupervised Dialog Structure Learning
  • Zhang et al 2020 - A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning

• Schema-Guided Dialog (SGD):2019 - Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset

• Zhao et al 2022 - ANYTOD: A Programmable Task-Oriented Dialog System

• Madotto et al 2021 - Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
• Hu et al 2022 - In-Context Learning for Few-Shot Dialogue State Tracking

• Yu et al 2020 - DAFA: Dialog System Domain Adaptation With a Filter and an Amplifier

“Dialog state tracking (DST) extracts users’ goals in task-oriented dialog systems, where dialog states are often represented in terms of a set of slot-value pairs” (from Dai 2021).

• MultiWoz
  • See also Multi-domain Dialogue State Tracking on MULTIWOZ 2.1
  • STAR: Ye et al 2021 - Slot Self-Attentive Dialogue State Tracking SOTA as of 2022
  • Ye et al 2021 - MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation Contains a comparison of SOTA methods on MultiWoz 2.1 and 2.4.
• Dai et al 2021 - Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking

• Chatbots
• Dialog