A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Self-Aware Feedback-Based Self-Learning in Large-Scale Conversational AI
[article]
2022
arXiv
pre-print
Self-learning paradigms in large-scale conversational AI agents tend to leverage user feedback in bridging between what they say and what they mean. However, such learning, particularly in Markov-based query rewriting systems have far from addressed the impact of these models on future training where successive feedback is inevitably contingent on the rewrite itself, especially in a continually updating environment. In this paper, we explore the consequences of this inherent lack of
arXiv:2205.00029v1
fatcat:elw2s2frkbeobfr7tukvoyrn7u