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Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks., , , , , and . AAAI, page 7424-7431. AAAI Press, (2020)VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation., , , , , , , and . ACL/IJCNLP (1), page 3980-3994. Association for Computational Linguistics, (2021)Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction., , , , and . ACL/IJCNLP (2), page 942-947. Association for Computational Linguistics, (2021)COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment., , , , , , , , , and . ACM Multimedia, page 4480-4491. ACM, (2023)Achieving Human Parity on Visual Question Answering., , , , , , , , , and 7 other author(s). CoRR, (2021)A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO, DPO and More., , , , , , , , , and . CoRR, (2024)Inferring the demographics of search users: social data meets search queries., , , and . WWW, page 131-140. International World Wide Web Conferences Steering Committee / ACM, (2013)StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding., , , , , , , and . ICLR, OpenReview.net, (2020)Collaborative resource discovery in social tagging systems., , and . CIKM, page 1919-1922. ACM, (2009)Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing services., , , and . KDD, page 1506-1515. ACM, (2014)