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New paper - Transformers, but without normalization layers (1/n)

Excited to share that our paper on Navigation World Models was selected for an Oral presentation at CVPR! Code & models: github.com/facebookresear… huggingface.co/facebook/nwm

Excited to release the training code for MetaMorph! MetaMorph offers a simple yet effective way to convert LLMs into a multimodal LLM that not only takes multimodal inputs, but also generates multimodal outputs via AR prediction. This confers the ability to “think visually”, and

Introducing COMPACT: COMPositional Atomic-to-complex Visual Capability Tuning, a data-efficient approach to improve multimodal models on complex visual tasks without scaling data volume. 📦 arxiv.org/abs/2504.21850 1/10

Welcome Rob! So blessed to have you steer the ship! See you around the office :)