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An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics.

, and . CoRR, (2023)

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MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting., , , , , and . EACL, page 2515-2540. Association for Computational Linguistics, (2023)Measuring Progress in Fine-grained Vision-and-Language Understanding., , , , and . ACL (1), page 1559-1582. Association for Computational Linguistics, (2023)Improving Text-to-Image Consistency via Automatic Prompt Optimization., , , , , , , , and . CoRR, (2024)An Introduction to Vision-Language Modeling., , , , , , , , , and 31 other author(s). CoRR, (2024)Improving Automatic VQA Evaluation Using Large Language Models., , and . CoRR, (2023)An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics., and . CoRR, (2023)Improving Automatic VQA Evaluation Using Large Language Models., , and . AAAI, page 4171-4179. AAAI Press, (2024)Analyzing the Behavior of Visual Question Answering Models., , and . EMNLP, page 1955-1960. The Association for Computational Linguistics, (2016)Vision-Language Pretraining: Current Trends and the Future., , and . ACL (tutorial), page 38-43. Association for Computational Linguistics, (2022)Overcoming Language Priors in Visual Question Answering with Adversarial Regularization., , and . NeurIPS, page 1548-1558. (2018)