Mimicking Human Dialogue Patterns.
Is Mimicry a Communication Tool?
In the rapidly evolving field of natural language processing, dialogue
systems primarily employ a single step dialogue paradigm.
This paradigm is efficient but lacks the depth and fluidity of human interactions and does most often not appear natural.
Despite continuing efforts to improve the engagement in and consistency of chit chat dialogue systems, the majority of current work simply focuses on mimicking human-like responses, leaving the aspects of modeling understanding between the dialogists.
Research in cognitive science suggests that understanding is an essential signal for a high quality chit chat conversation
By employing a dual learning strategy and a further split post editing method, the project Stephanie has generated and utilized a high quality step by step dialogue dataset to fine tune existing LLMs, enabling them to perform step by step dialogues.
With tailored automatic and human evaluations being conducted to assess its effectiveness compared to the traditional single step dialogue paradigm.
