Cherti, Mehdi

10 publications

TMLR 2026 Detecting Generalization Deficits in Large Language and Reasoning Models by Using Natural Variations in Simple Problems Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, Jenia Jitsev

NeurIPS 2025 Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets Marianna Nezhurina, Tomer Porian, Giovanni Puccetti, Tommie Kerssies, Romain Beaumont, Mehdi Cherti, Jenia Jitsev

NeurIPSW 2024 A Practitioner's Guide to Continual Multimodal Pretraining Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J Henaff, Samuel Albanie, Matthias Bethge, Zeynep Akata

NeurIPS 2024 A Practitioner's Guide to Real-World Continual Multimodal Pretraining Vishaal Udandarao, Karsten Roth, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier Hénaff, Samuel Albanie, Zeynep Akata, Matthias Bethge

NeurIPSW 2024 Alice in Wonderland: Simple Tasks Reveal Severe Generalization and Basic Reasoning Deficits in State-of-the-Art Large Language Models Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, Jenia Jitsev

NeurIPS 2023 DataComp: In Search of the Next Generation of Multimodal Datasets Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei W Koh, Olga Saukh, Alexander J Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt

CVPR 2023 Reproducible Scaling Laws for Contrastive Language-Image Learning Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, Jenia Jitsev

NeurIPS 2022 LAION-5B: An Open Large-Scale Dataset for Training Next Generation Image-Text Models Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, Jenia Jitsev

ICLR 2017 De Novo Drug Design with Deep Generative Models : An Empirical Study Mehdi Cherti, Balázs Kégl, Akin Kazakçi

ICLR 2017 Out-of-Class Novelty Generation: An Experimental Foundation Mehdi Cherti, Balázs Kégl, Akin Kazakçi