MAUVE Scores for Generative Models: Theory and Practice

MAUVE Scores for Generative Models: Theory and Practice

30 December 2022

Krishna Pillutla

Swabha Swayamdipta

Yejin Choi

Zaïd Harchaoui

Papers citing "MAUVE Scores for Generative Models: Theory and Practice"

11 / 11 papers shown

Title
On the Statistical Complexity of Estimating Vendi Scores from Empirical Data Azim Ospanov Farzan Farnia 33 1 0 17 Feb 2025
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 51 17 0 28 Feb 2024
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking Chris Cundy Stefano Ermon 11 10 0 08 Jun 2023
Distribution Aware Metrics for Conditional Natural Language Generation David M. Chan Yiming Ni David A. Ross Sudheendra Vijayanarasimhan Austin Myers John F. Canny 29 4 0 15 Sep 2022
On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation Tiago Pimentel Clara Meister Ryan Cotterell 35 7 0 31 May 2022
Locally Typical Sampling Clara Meister Tiago Pimentel Gian Wiher Ryan Cotterell 138 85 0 01 Feb 2022
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation Marzena Karpinska Nader Akoury Mohit Iyyer 204 106 0 14 Sep 2021
Statistical guarantees for generative models without domination Nicolas Schreuder Victor-Emmanuel Brunel A. Dalalyan GAN 51 30 0 19 Oct 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Language GANs Falling Short Massimo Caccia Lucas Page-Caccia W. Fedus Hugo Larochelle Joelle Pineau Laurent Charlin 112 214 0 06 Nov 2018
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 65 389 0 20 Oct 2016