11 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 11 cited
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier +29
In this work, we discuss building performant Multimodal Large Language Models (MLLMs). In particular, we study the importance of various architecture components and data choices. T…
cs.LG2023
On Robustness in Multimodal Learning
Brandon McKinzie, Joseph Cheng, Vaishaal Shankar +3
Multimodal learning is defined as learning over multiple heterogeneous input modalities such as video, audio, and text. In this work, we are concerned with understanding how models…