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How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs., , , , , , , , and . CoRR, (2023)Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference., , , , , , and . EACL, page 1303-1317. Association for Computational Linguistics, (2023)Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models., and . AAAI, page 9717-9724. AAAI Press, (2020)Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training., , , , and . ACL (1), page 5731-5746. Association for Computational Linguistics, (2023)Commonsense Knowledge Transfer for Pre-trained Language Models., , and . ACL (Findings), page 5946-5960. Association for Computational Linguistics, (2023)VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 27395-27411. PMLR, (2022)Controlled Text Generation with Natural Language Instructions., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 42602-42613. PMLR, (2023)Towards Interpretable Natural Language Understanding with Explanations as Latent Variables., , , , , , and . CoRR, (2020)SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models., , , , , , , , , and . LREC/COLING, page 14937-14953. ELRA and ICCL, (2024)RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text., , , , , , , and . CoRR, (2023)