Citations

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• https://www.sbert.net/docs/usage/semantic_
• https://pypi.org/project/lexicalrichness/
• https://huggingface.co/ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli
• https://huggingface.co/bigscience/bloomz-3b
• https://huggingface.co/bigscience/bloomz-7b1
• https://huggingface.co/bigscience/T0_3B
• https://huggingface.co/facebook/opt-iml-max-1.3b
• https://huggingface.co/chavinlo/alpaca-native
• https://huggingface.co/google/flan-t5-xl
• https://huggingface.co/google/flan-t5-xxl
• https://huggingface.co/declare-lab/flan-alpaca-xl
• https://huggingface.co/THUDM/chatglm-6b
• https://platform.openai.com/docs/models/gpt-3-5
• https://huggingface.co/tifa-benchmark/promptcap-coco-vqa
• https://huggingface.co/allenai/unifiedqa-t5-base
• https://huggingface.co/tifa-benchmark/promptcap-coco-vqa
• https://huggingface.co/allenai/unifiedqa-t5-3b
• https://huggingface.co/Salesforce/blip2-opt-2.7b
• https://huggingface.co/OpenFlamingo/OpenFlamingo-9B
• https://huggingface.co/Salesforce/instructblip-flan-t5-xl
• https://huggingface.co/OFA-Sys/ofa-huge-vqa
• https://huggingface.co/Salesforce/blip-vqa-base
• https://huggingface.co/Salesforce/blip-vqa-capfilt-large
• https://github.com/salesforce/ALBEF#download#
• https://huggingface.co/microsoft/git-large-vqav2