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Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2022)Towards Understanding Neural Machine Translation with Word Importance., , , , , and . EMNLP/IJCNLP (1), page 953-962. Association for Computational Linguistics, (2019)XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation., , , , and . EMNLP, page 6934-6946. Association for Computational Linguistics, (2022)Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction., , , , , , and . ICSE, page 830-842. IEEE, (2023)Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection., , , , , , , , and . ICLR, OpenReview.net, (2023)An Evaluation Study on Log Parsing and Its Use in Log Mining., , , , and . DSN, page 654-661. IEEE Computer Society, (2016)Xpert: Empowering Incident Management with Query Recommendations via Large Language Models., , , , , , , , , and 1 other author(s). CoRR, (2023)Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation., , , , , and . CoRR, (2020)UniParser: A Unified Log Parser for Heterogeneous Log Data., , , , , , , , , and 2 other author(s). WWW, page 1893-1901. ACM, (2022)CONAN: Diagnosing Batch Failures for Cloud Systems., , , , , , , , , and 1 other author(s). ICSE-SEIP, page 138-149. IEEE, (2023)