Our metric measures how likely a response would appear in the distribution of human conversations. Moreover, to improve the performance of DENSITY, we utilize ...
scholar.google.com › citations
May 8, 2023 · We propose DEnsity, which evaluates a response by utilizing density estimation on the feature space derived from a neural classifier. Our metric ...
Jul 9, 2023 · We introduce a new reference-free learnable metric for open-domain dialogue systems, which estimates the density of responses on the ...
This repository contains the code and pre-trained models for DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation (ACL2023 Findings). Links.
Despite the recent advances in open-domain dialogue systems, building a reliable evaluation metric is still a challenging problem. Recent studies proposed ...
Building a reliable and automated evaluation metric is a necessary but challenging problem for open-domain dialogue systems.
May 25, 2023 · We introduce a new reference-free learnable metric for open-domain dialogue systems, which estimates the density of responses on the ...
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation · 1 code implementation • 8 May 2023 • ChaeHun Park, Seungil Chad Lee, Daniel Rim, ...
Jul 13, 2023 · DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation ... by Nobel prize laureates Richard Roberts and Adrian Kreiner.
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation ... metrics for open-domain dialogue evaluation exhibit promising correlations with ...