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Instruction tuning unlocks the superior capability of Large Language Models (LLM) to interact with humans.
Historical review of ocr research and development
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Object hallucination in image captioning, 2018
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Anand Mishra, Shashank Shekhar, Ajeet Kumar Singh, and Anirban Chakraborty · 2019
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Icdar 2019 competition on scene text visual question answering
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An image is worth 16x16 words: Transformers for image recognition at scale, 2020
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2020
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Scaling instruction-finetuned language models, 2022
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Laion-5b: An open large-scale dataset for training next generation image-text models
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Instructblip: Towards general-purpose vision-language models with instruction tuning, 2023
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Openflamingo, March 2023
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What matters in training a gpt4-style language model with multimodal inputs?
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Doremi: Optimizing data mixtures speeds up language model pretraining, 2023
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Visual information extraction in the wild: Practical dataset and end-to-end solution, 2023
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