Scholar
Mustafa Shukor
Google Scholar ID: lhp9mRgAAAAJ
CS PhD at Sorbonne University
Citations & Impact
Citations
686
H-index
14
i10-index
17
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- - 2025-09: l3m is released. Our codebase for large-scale pretraining of AIMv2, CLIP, Native VLMs, and LLMs.
- - 2025-09: 2 papers accepted at NeurIPS 2025: 'Scaling laws for optimal data mixtures' and 'Learning to Steer'.
- - 2025-07: We released our work on 'Scaling laws for optimal data mixtures'.
- - 2025-07: Our work on 'Scaling laws for native multimodal models' got an Oral (~top 2%) at ICCV 2025.
- - 2025-07: 2 papers accepted at ICCV 2025: 'Scaling laws for NMMs' and 'Multimodal Steering'.
- - 2025-06: We released SmolVLA, an efficient foundation model for robotics: paper, code, and blogpost.
- - 2025-02: AIMv2 is accepted as a Spotlight paper (~top 5%) at CVPR 2025.
- - 2024-11: We released AIMv2, a SoTA large-scale vision encoder.
- - 2024-09: 'Implicit Multimodal Alignment', 'CoX-LMM', 'DiffCut', and 'Skipping Computations' are accepted at NeurIPS 2024.
- - 2024-04: 'Beyond task performance' is accepted at ICLR 2024.
- - 2023-12: UnIVAL: Unified Model for Image, Video, Audio and Language Tasks, is accepted at TMLR 2023: paper and code.
- - 2023-09: 'Rewarded soups' is accepted at NeurIPS 2023.
Research Experience
- Worked at FAIR (Meta), LeRobot (Hugging Face), MLR (Apple).
Education
- PhD in Computer Science, Sorbonne University
Background
- CS PhD at Sorbonne. Prev: FAIR (Meta), LeRobot (Hugging Face), MLR (Apple).