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pro vyhledávání: '"Tronchon, Léo"'
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 development pipeline, including data, architecture, and training meth
Externí odkaz:
http://arxiv.org/abs/2408.12637
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 subject, we observe that critical decisions regarding the design of VL
Externí odkaz:
http://arxiv.org/abs/2405.02246
Using vision-language models (VLMs) in web development presents a promising strategy to increase efficiency and unblock no-code solutions: by providing a screenshot or a sketch of a UI, a VLM could generate the code to reproduce it, for instance in a
Externí odkaz:
http://arxiv.org/abs/2403.09029
Autor:
Laurençon, Hugo, Saulnier, Lucile, Tronchon, Léo, Bekman, Stas, Singh, Amanpreet, Lozhkov, Anton, Wang, Thomas, Karamcheti, Siddharth, Rush, Alexander M., Kiela, Douwe, Cord, Matthieu, Sanh, Victor
Large multimodal models trained on natural documents, which interleave images and text, outperform models trained on image-text pairs on various multimodal benchmarks. However, the datasets used to train these models have not been released, and the c
Externí odkaz:
http://arxiv.org/abs/2306.16527