Shukor, Mustafa

21 publications

ICLR 2026 LeRobot: An Open-Source Library for End-to-End Robot Learning Remi Cadene, Simon Alibert, Francesco Capuano, Michel Aractingi, Adil Zouitine, Pepijn Kooijmans, Jade Choghari, Martino Russi, Caroline Pascal, Steven Palma, Dana Aubakirova, Mustafa Shukor, Jess Moss, Alexander Soare, Quentin Lhoest, Quentin Gallouédec, Thomas Wolf

ICLR 2026 VL-JEPA: Joint Embedding Predictive Architecture for Vision-Language Delong Chen, Mustafa Shukor, Théo Moutakanni, Willy Chung, Lei Yu, Tejaswi Kasarla, Allen Bolourchi, Yann LeCun, Pascale Fung

ICCV 2025 Analyzing Finetuning Representation Shift for Multimodal LLMs Steering Pegah Khayatan, Mustafa Shukor, Jayneel Parekh, Arnaud Dapogny, Matthieu Cord

NeurIPS 2025 Learning to Steer: Input-Dependent Steering for Multimodal LLMs Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Arnaud Dapogny, Alasdair Newson, Matthieu Cord

CVPR 2025 Multimodal Autoregressive Pre-Training of Large Vision Encoders Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor G. Turrisi da Costa, Louis Béthune, Zhe Gan, Alexander Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua Susskind, Alaaeldin El-Nouby

ICCV 2025 Scaling Laws for Native Multimodal Models Mustafa Shukor, Enrico Fini, Victor Guilherme Turrisi da Costa, Matthieu Cord, Joshua Susskind, Alaaeldin El-Nouby

NeurIPS 2025 Scaling Laws for Optimal Data Mixtures Mustafa Shukor, Louis Béthune, Dan Busbridge, David Grangier, Enrico Fini, Alaaeldin El-Nouby, Pierre Ablin

NeurIPS 2024 A Concept-Based Explainability Framework for Large Multimodal Models Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord

NeurIPSW 2024 A Concept-Based Explainability Framework for Large Multimodal Models Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord

ICLR 2024 Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context-Learning Mustafa Shukor, Alexandre Rame, Corentin Dancette, Matthieu Cord

NeurIPS 2024 DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome

NeurIPS 2024 Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs Mustafa Shukor, Matthieu Cord

ECCVW 2024 Improved Baselines for Data-Efficient Perceptual Augmentation of LLMs Théophane Vallaeys, Mustafa Shukor, Matthieu Cord, Jakob Verbeek

NeurIPSW 2024 Skipping Computations in Multimodal LLMs Mustafa Shukor, Matthieu Cord

CVPRW 2024 What Makes Multimodal In-Context Learning Work? Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski

NeurIPS 2023 Rewarded Soups: Towards Pareto-Optimal Alignment by Interpolating Weights Fine-Tuned on Diverse Rewards Alexandre Rame, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor, Laure Soulier, Matthieu Cord

ICMLW 2023 Rewarded Soups: Towards Pareto-Optimal Alignment by Interpolating Weights Fine-Tuned on Diverse Rewards Alexandre Rame, Guillaume Couairon, Corentin Dancette, Mustafa Shukor, Jean-Baptiste Gaya, Laure Soulier, Matthieu Cord

ICMLW 2023 Rewarded Soups: Towards Pareto-Optimal Alignment by Interpolating Weights Fine-Tuned on Diverse Rewards Alexandre Rame, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor, Laure Soulier, Matthieu Cord

TMLR 2023 UnIVAL: Unified Model for Image, Video, Audio and Language Tasks Mustafa Shukor, Corentin Dancette, Alexandre Rame, Matthieu Cord

ICCV 2023 eP-ALM: Efficient Perceptual Augmentation of Language Models Mustafa Shukor, Corentin Dancette, Matthieu Cord

CVPRW 2022 Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval Mustafa Shukor, Guillaume Couairon, Asya Grechka, Matthieu Cord