Interactive Evaluation of Dialog
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Benchmarks
DSTC9 Track 3 - Task 2
Most implemented
In-Context Learning User Simulators for Task-Oriented Dialog Systems
A Unified Pre-training Framework for Conversational AI
Papers
In-Context Learning User Simulators for Task-Oriented Dialog Systems
This paper presents a novel application of large language models in user simulation for task-oriented dialog systems, specifically focusing on an in-context learning approach. By harnessing the power of these models, the…
Goal-Oriented Dialogue SystemsIn-Context LearningInteractive Evaluation of DialogTask-Oriented Dialogue Systems+1Interactive Evaluation of Dialog Track at DSTC9
The ultimate goal of dialog research is to develop systems that can be effectively used in interactive settings by real users. To this end, we introduced the Interactive Evaluation of Dialog Track at the 9th Dialog Syste…
Interactive Evaluation of DialogOpen-Domain DialogResponse GenerationA Unified Pre-training Framework for Conversational AI
In this work, we explore the application of PLATO-2 on various dialogue systems, including open-domain conversation, knowledge grounded dialogue, and task-oriented conversation. PLATO-2 is initially designed as an open-d…
ChatbotInteractive Evaluation of DialogResponse GenerationOverview of the Ninth Dialog System Technology Challenge: DSTC9
This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for four distinct tasks in dialog systems, namely, 1. Task-oriented…
Interactive Evaluation of Dialog