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How Much Can CLIP Benefit Vision-and-Language Tasks?, , , , , , , and . ICLR, OpenReview.net, (2022)DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation., , , , and . CoRR, (2022)DesCo: Learning Object Recognition with Rich Language Descriptions., , , and . CoRR, (2023)Grounded Language-Image Pre-training., , , , , , , , , and 2 other author(s). CVPR, page 10955-10965. IEEE, (2022)RegionCLIP: Region-based Language-Image Pretraining., , , , , , , , , and 1 other author(s). CVPR, page 16772-16782. IEEE, (2022)Tailoring Self-Rationalizers with Multi-Reward Distillation., , , , , , , , and . CoRR, (2023)On the Paradox of Learning to Reason from Data., , , , and . CoRR, (2022)What Does BERT with Vision Look At?, , , , and . ACL, page 5265-5275. Association for Computational Linguistics, (2020)MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models., , , , and . ACL (2), page 495-508. Association for Computational Linguistics, (2023)Efficient Contextual Representation Learning Without Softmax Layer., , , and . CoRR, (2019)