arXiv AI By Pablo Lemos, Sammy Sharief, Esmeralda S. Whitammer, Salma Salhi, Connor Stone, Laurence Perreault-Levasseur, Yashar Hezaveh

PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation

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arXiv AI
Jun 24

MGI: Member vs Generated Inference

arXiv:2606. 23872v1 Announce Type: cross Abstract: As generative models increasingly produce samples that are indistinguishable from human-created content, it becomes difficult to determine whether a given data point was part of a model's natural training set or was generated by the model itself, especially when models memorize and reproduce training data.

By Bihe Zhao, Michel Meintz, Juangui Xu, Franziska Boenisch, Adam Dziedzic
arXiv AI
Jun 11

A New Perspective on Precision and Recall for Generative Models

arXiv:2511. 02414v3 Announce Type: replace Abstract: With the recent success of generative models in image and text, the question of their evaluation has recently gained a lot of attention.

By Benjamin Sykes (Unicaen, Ensicaen, Greyc), Lo\"ic Simon (Unicaen, Ensicaen, Greyc), Julien Rabin (Unicaen, Ensicaen, Greyc), Jalal Fadili (Unicaen, Ensicaen, Greyc)