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Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity., , and . WWW, page 927-936. ACM, (2017)UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations., , , , , , , , and . CoRR, (2023)CLIPScore: A Reference-free Evaluation Metric for Image Captioning., , , , and . EMNLP (1), page 7514-7528. Association for Computational Linguistics, (2021)Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!, and . EMNLP (1), page 861-877. Association for Computational Linguistics, (2020)How effective is BERT without word ordering? Implications for language understanding and data privacy., and . ACL/IJCNLP (2), page 204-211. Association for Computational Linguistics, (2021)Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging., , , , , , , , and . CoRR, (2023)Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning., , , , , , , , , and 1 other author(s). CVPR, page 10845-10856. IEEE, (2023)A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions., , , and . CoNLL, page 419-429. Association for Computational Linguistics, (2019)Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step., , , , , and . ACL (1), page 2665-2679. Association for Computational Linguistics, (2023)Do Androids Laugh at Electric Sheep? Humor Ünderstanding" Benchmarks from The New Yorker Caption Contest., , , , , , , and . ACL (1), page 688-714. Association for Computational Linguistics, (2023)