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Importance-Aware Data Augmentation for Document-Level Neural Machine Translation.

, , , , и . EACL (1), стр. 740-752. Association for Computational Linguistics, (2024)

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Minghao Qi

Minghao Qin

Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche Chromatographie. Uni Erlangen-Nürnberg, (2009)

Yinghua Wu

Jinjin Wu

 

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GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation., , , , , , , , , и . CoRR, (2023)Importance-Aware Data Augmentation for Document-Level Neural Machine Translation., , , , и . EACL (1), стр. 740-752. Association for Computational Linguistics, (2024)Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation., , , и . EACL, стр. 448-462. Association for Computational Linguistics, (2023)Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models., , , и . CoRR, (2024)Lyapunov Inverse Iteration for Identifying Hopf Bifurcations in Models of Incompressible Flow., , , и . SIAM J. Sci. Comput., (2012)LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions., , , , и . EACL (1), стр. 944-964. Association for Computational Linguistics, (2024)A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models., , , , , , , , и . LREC/COLING, стр. 1339-1352. ELRA and ICCL, (2024)EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations., , , , , , , , , и 2 other автор(ы). CoRR, (2024)(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts., , , и . CoRR, (2024)Bactrian-X : A Multilingual Replicable Instruction-Following Model with Low-Rank Adaptation., , , , и . CoRR, (2023)