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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Fandong; Lin, Zheng. - : Underline Science Inc., 2021 BASE Show details 2 CLEVE: Contrastive Pre-training for Event Extraction ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Han, Xu; Hou, Lei. - : Underline Science Inc., 2021 BASE Show details 3 Rethinking Stealthiness of Backdoor Attack against NLP Models ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Li, Peng; Lin, Yankai; Sun, Xu; Yang, Wenkai; Zhou, Jie. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.431 Abstract: Recent researches have shown that large natural language processing (NLP) models are vulnerable to a kind of security threat called the Backdoor Attack. Backdoor attacked models can achieve good performance on clean test sets but perform badly on those input sentences injected with designed trigger words. In this work, we point out a potential problem of current backdoor attacking research: its evaluation ignores the stealthiness of backdoor attacks, and most of existing backdoor attacking methods are not stealthy either to system deployers or to system users. To address this issue, we first propose two additional stealthiness-based metrics to make the backdoor attacking evaluation more credible. We further propose a novel word-based backdoor attacking method based on negative data augmentation and modifying word embeddings, making an important step towards achieving stealthy backdoor attacking. Experiments on sentiment analysis and toxic ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://dx.doi.org/10.48448/rd6q-td85 https://underline.io/lecture/25860-rethinking-stealthiness-of-backdoor-attack-against-nlp-models BASE Hide details 4 Prevent the Language Model from being Overconfident in Neural Machine Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Fandong; Liu, Yijin. - : Underline Science Inc., 2021 BASE Show details 5 KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Hu, Shengding; Liu, Zhiyuan. - : Underline Science Inc., 2021 BASE Show details 6 Modeling Bilingual Conversational Characteristics for Neural Chat Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Fandong; Chen, Yufeng. - : Underline Science Inc., 2021 BASE Show details 7 Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Fandong; Chen, Yufeng. - : Underline Science Inc., 2021 BASE Show details 8 Exploring Dynamic Selection of Branch Expansion Orders for Code Generation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Fandong; Huang, Degen. - : Underline Science Inc., 2021 BASE Show details

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