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ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback., , , , , and . EMNLP (Findings), page 3671-3683. Association for Computational Linguistics, (2022)ZeroGen: Efficient Zero-shot Learning via Dataset Generation., , , , , , , and . EMNLP, page 11653-11669. Association for Computational Linguistics, (2022)Linear Complexity Randomized Self-attention Mechanism., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 27011-27041. PMLR, (2022)Compositional Exemplars for In-context Learning., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 39818-39833. PMLR, (2023)Revisiting Over-smoothing in BERT from the Perspective of Graph., , , , , , , and . ICLR, OpenReview.net, (2022)Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering., , , and . ACL (1), page 1423-1436. Association for Computational Linguistics, (2023)SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation., , , , , and . ACL (Findings), page 11247-11266. Association for Computational Linguistics, (2023)DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks., , , , and . CoRR, (2017)SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving., , , and . CoRR, (2023)Audio-Visual Segmentation with Semantics., , , , , , , , , and 1 other author(s). CoRR, (2023)