Meta and NYU: pretrained vision encoders not required for multimodal LLMs

A Meta FAIR and NYU paper, training over 200 multimodal models, finds that pretrained vision encoders are not necessary for multimodal LLMs; what matters is dedicated vision capacity rather than visual priors.

2026-11-16 ~ 2026-11-16 · 2 related posts

• Meta FAIR & NYU train 200+ MLLMs to show encoder pretraining is optional, vision-only params aren't — trungh98 · 2026-11-16
• Meta & NYU paper: vision prior unnecessary, dedicated capacity placed early is what matters — burny_tech · 2026-11-16