Interactive Evaluation of Dialog
2 papers with code • 1 benchmarks • 0 datasets
Task that involve building/adapting conversation models to work effectively in an interactive setting.
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.
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.