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Evaluating the Utility of Hand-crafted Features in Sequence Labelling., , and . CoRR, (2018)Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation., , , and . EACL, page 448-462. Association for Computational Linguistics, (2023)Importance-Aware Data Augmentation for Document-Level Neural Machine Translation., , , , and . EACL (1), page 740-752. Association for Computational Linguistics, (2024)GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation., , , , , , , , , and . CoRR, (2023)Understanding the Instruction Mixture for Large Language Model Fine-tuning., , , , , and . CoRR, (2023)Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models., , and . CoRR, (2024)Stack engineering for ReRAM devices performance improvement., , , , , , and . ISCAS, page 846-849. IEEE, (2014)Lyapunov Inverse Iteration for Computing a Few Rightmost Eigenvalues of Large Generalized Eigenvalue Problems., and . SIAM J. Matrix Anal. Appl., 34 (4): 1685-1707 (2013)Evaluating the Utility of Hand-crafted Features in Sequence Labeling., , and . EMNLP, page 2850-2856. Association for Computational Linguistics, (2018)Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training., , , , , and . EMNLP (1), page 7291-7305. Association for Computational Linguistics, (2021)