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

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Lizhen Qu

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Guoqiong Qu

 

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Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection., , , , , , и . ICLR (Poster), OpenReview.net, (2019)Generative Region-Language Pretraining for Open-Ended Object Detection., , , , и . CoRR, (2024)Neural-Symbolic Commonsense Reasoner with Relation Predictors., , , , и . ACL/IJCNLP (2), стр. 797-802. Association for Computational Linguistics, (2021)On Robustness of Neural Semantic Parsers., , , и . EACL, стр. 3333-3342. Association for Computational Linguistics, (2021)CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering., , , , и . COLING, стр. 5347-5359. International Committee on Computational Linguistics, (2020)Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers., , и . EMNLP (1), стр. 3816-3831. Association for Computational Linguistics, (2021)Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer?, , , , , , и . EMNLP (Findings), стр. 13900-13923. Association for Computational Linguistics, (2023)CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems., , , и . CoRR, (2024)SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking., , , , , и . CoRR, (2024)Using tag semantic network for keyphrase extraction in blogs, , и . Proceedings of the 17th ACM conference on Information and knowledge management, стр. 1381--1382. New York, NY, USA, ACM, (2008)