no code implementations • 21 Dec 2023 • Daniel Haimovich, Dima Karamshuk, Fridolin Linder, Niek Tax, Milan Vojnovic
This includes demonstrating convergence rate guarantees for loss-based sampling with various loss functions.
no code implementations • 11 Nov 2022 • Vashist Avadhanula, Omar Abdul Baki, Hamsa Bastani, Osbert Bastani, Caner Gocmen, Daniel Haimovich, Darren Hwang, Dima Karamshuk, Thomas Leeper, Jiayuan Ma, Gregory Macnamara, Jake Mullett, Christopher Palow, Sung Park, Varun S Rajagopal, Kevin Schaeffer, Parikshit Shah, Deeksha Sinha, Nicolas Stier-Moses, Peng Xu
We describe the current content moderation strategy employed by Meta to remove policy-violating content from its platforms.
no code implementations • 3 Dec 2020 • Oleg Kariuk, Dima Karamshuk
In this paper, we focus on the challenge of learning controllable text simplifications in unsupervised settings.