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Vega-MT: The JD Explore Academy Machine Translation System for WMT22., , , , , , , , , and 2 other author(s). WMT, page 411-422. Association for Computational Linguistics, (2022)Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks., , , , , and . CoRR, (2022)Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning., , , , , , , and . CoRR, (2024)NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 15170-15185. PMLR, (2023)PAD-Net: An Efficient Framework for Dynamic Networks., , , , , and . ACL (1), page 14354-14366. Association for Computational Linguistics, (2023)MerA: Merging Pretrained Adapters For Few-Shot Learning., , , , , and . CoRR, (2023)Reformatted Alignment., , , , , , , and . CoRR, (2024)Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning., , , , , and . CoRR, (2024)Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning., , , , , , and . CoRR, (2023)When Sparsity Meets Dynamic Convolution., , , and . CoRR, (2022)