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Know what you don't need: Single-Shot Meta-Pruning for attention heads., , , , и . AI Open, (2021)Multi-Channel Reverse Dictionary Model., , , , , и . AAAI, стр. 312-319. AAAI Press, (2020)Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning., , , , , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 1569-1576. Association for Computational Linguistics, (2021)Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger., , , , , , и . ACL/IJCNLP (1), стр. 443-453. Association for Computational Linguistics, (2021)Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information., , , , , и . ACL (Findings), стр. 158-168. Association for Computational Linguistics, (2022)ONION: A Simple and Effective Defense Against Textual Backdoor Attacks., , , , , и . EMNLP (1), стр. 9558-9566. Association for Computational Linguistics, (2021)Know What You Don't Need: Single-Shot Meta-Pruning for Attention Heads., , , , и . CoRR, (2020)Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks., , , , и . EMNLP, стр. 11215-11221. Association for Computational Linguistics, (2022)Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP., , , , , , и . EMNLP, стр. 11222-11237. Association for Computational Linguistics, (2022)WantWords: An Open-source Online Reverse Dictionary System., , , , и . EMNLP (Demos), стр. 175-181. Association for Computational Linguistics, (2020)