48 citations · 113 across the 9 of their papers we have counts for
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cs.CV2024★ 11 cited
Building and better understanding vision-language models: insights and future directions
Hugo Laurençon, Andrés Marafioti, Victor Sanh +1
The field of vision-language models (VLMs), which take images and texts as inputs and output texts, is rapidly evolving and has yet to reach consensus on several key aspects of the…
cs.CV2024★ 18 cited
What matters when building vision-language models?
Hugo Laurençon, Léo Tronchon, Matthieu Cord +1
The growing interest in vision-language models (VLMs) has been driven by improvements in large language models and vision transformers. Despite the abundance of literature on this…