| Word-level textual adversarial attacking as combinatorial optimization Y Zang, F Qi, C Yang, Z Liu, M Zhang, Q Liu, M Sun arXiv preprint arXiv:1910.12196, 2019 | 466 | 2019 |
| Onion: A simple and effective defense against textual backdoor attacks F Qi, Y Chen, M Li, Y Yao, Z Liu, M Sun arXiv preprint arXiv:2011.10369, 2020 | 261 | 2020 |
| Hidden killer: Invisible textual backdoor attacks with syntactic trigger F Qi, M Li, Y Chen, Z Zhang, Z Liu, Y Wang, M Sun arXiv preprint arXiv:2105.12400, 2021 | 225 | 2021 |
| Mind the style of text! adversarial and backdoor attacks based on text style transfer F Qi, Y Chen, X Zhang, M Li, Z Liu, M Sun arXiv preprint arXiv:2110.07139, 2021 | 175 | 2021 |
| C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models Y Huang, Y Bai, Z Zhu, J Zhang, J Zhang, T Su, J Liu, C Lv, Y Zhang, Y Fu, ... Advances in Neural Information Processing Systems 36, 62991-63010, 2023 | 168 | 2023 |
| Openattack: An open-source textual adversarial attack toolkit G Zeng, F Qi, Q Zhou, T Zhang, Z Ma, B Hou, Y Zang, Z Liu, M Sun arXiv preprint arXiv:2009.09191, 2020 | 138 | 2020 |
| Turn the combination lock: Learnable textual backdoor attacks via word substitution F Qi, Y Yao, S Xu, Z Liu, M Sun arXiv preprint arXiv:2106.06361, 2021 | 134 | 2021 |
| CPM: A large-scale generative Chinese pre-trained language model Z Zhang, X Han, H Zhou, P Ke, Y Gu, D Ye, Y Qin, Y Su, H Ji, J Guan, F Qi, ... AI Open 2, 93-99, 2021 | 124 | 2021 |
| Better robustness by more coverage: Adversarial training with mixup augmentation for robust fine-tuning C Si, Z Zhang, F Qi, Z Liu, Y Wang, Q Liu, M Sun arXiv preprint arXiv:2012.15699, 2020 | 103 | 2020 |
| Openhownet: An open sememe-based lexical knowledge base F Qi, C Yang, Z Liu, Q Dong, M Sun, Z Dong arXiv preprint arXiv:1901.09957, 2019 | 98 | 2019 |
| Red alarm for pre-trained models: Universal vulnerability to neuron-level backdoor attacks Z Zhang, G Xiao, Y Li, T Lv, F Qi, Z Liu, Y Wang, X Jiang, M Sun Machine Intelligence Research 20 (2), 180-193, 2023 | 96 | 2023 |
| Cpm-2: Large-scale cost-effective pre-trained language models Z Zhang, Y Gu, X Han, S Chen, C Xiao, Z Sun, Y Yao, F Qi, J Guan, P Ke, ... AI Open 2, 216-224, 2021 | 92 | 2021 |
| Webcpm: Interactive web search for chinese long-form question answering Y Qin, Z Cai, D Jin, L Yan, S Liang, K Zhu, Y Lin, X Han, N Ding, H Wang, ... arXiv preprint arXiv:2305.06849, 2023 | 72 | 2023 |
| Multi-channel reverse dictionary model L Zhang, F Qi, Z Liu, Y Wang, Q Liu, M Sun Proceedings of the AAAI conference on artificial intelligence 34 (01), 312-319, 2020 | 56 | 2020 |
| Country image in COVID-19 pandemic: A case study of China H Chen, Z Zhu, F Qi, Y Ye, Z Liu, M Sun, J Jin IEEE Transactions on Big Data 7 (1), 81-92, 2020 | 52 | 2020 |
| Using BERT for word sense disambiguation J Du, F Qi, M Sun arXiv preprint arXiv:1909.08358, 2019 | 48 | 2019 |
| Why should adversarial perturbations be imperceptible? rethink the research paradigm in adversarial nlp Y Chen, H Gao, G Cui, F Qi, L Huang, Z Liu, M Sun arXiv preprint arXiv:2210.10683, 2022 | 42 | 2022 |
| Modeling semantic compositionality with sememe knowledge F Qi, J Huang, C Yang, Z Liu, X Chen, Q Liu, M Sun Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 37 | 2019 |
| Know what you don't need: Single-Shot Meta-Pruning for attention heads Z Zhang, F Qi, Z Liu, Q Liu, M Sun AI Open 2, 36-42, 2021 | 31 | 2021 |
| Towards building a multilingual sememe knowledge base: predicting sememes for babelnet synsets F Qi, L Chang, M Sun, S Ouyang, Z Liu Proceedings of the AAAI conference on artificial intelligence 34 (05), 8624-8631, 2020 | 30 | 2020 |
Maosong SunProfessor of Computer Science and Technology, Tsinghua UniversityBestätigte E-Mail-Adresse bei tsinghua.edu.cn