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Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models., , , , and . CoRR, (2024)NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion., , , , , , and . CoRR, (2021)A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning., , , , , , , , and . COLING, page 4372-4380. International Committee on Computational Linguistics, (2022)Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching., , , , , and . CoRR, (2022)Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching., , , , , , , , , and 6 other author(s). NAACL-HLT (Findings), page 2171-2181. Association for Computational Linguistics, (2022)Identity-Based Chameleon Hash without Random Oracles and Application in the Mobile Internet., , , , and . ICC, page 1-6. IEEE, (2021)Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning., , , , , and . ACM Multimedia, page 1577-1587. ACM, (2023)Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training., , , , and . AAAI, page 11336-11344. AAAI Press, (2020)Learning 3D Photography Videos via Self-supervised Diffusion on Single Images., , , , , , , , , and 2 other author(s). IJCAI, page 1506-1514. ijcai.org, (2023)Revisiting Unsupervised Domain Adaptation Models: A Smoothness Perspective., , , , and . ACCV (6), volume 13846 of Lecture Notes in Computer Science, page 338-356. Springer, (2022)