| Bert-attack: Adversarial attack against bert using bert L Li, R Ma, Q Guo, X Xue, X Qiu EMNLP2020 arXiv:2004.09984, 2020 | 442 | 2020 |
| Template-free prompt tuning for few-shot NER R Ma, X Zhou, T Gui, Y Tan, L Li, Q Zhang, X Huang NAACL 2022 arXiv preprint arXiv:2109.13532, 2021 | 98 | 2021 |
| Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning L Li, D Song, X Li, J Zeng, R Ma, X Qiu EMNLP 2021 arXiv:2108.13888, 2021 | 59 | 2021 |
| Token-aware virtual adversarial training in natural language understanding L Li, X Qiu Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8410-8418, 2021 | 58* | 2021 |
| U-net: Machine reading comprehension with unanswerable questions F Sun, L Li, X Qiu, Y Liu Jounral of Chinese Information Processing arXiv preprint arXiv:1810.06638, 2018 | 49 | 2018 |
| Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution Z Li, J Xu, J Zeng, L Li, X Zheng, Q Zhang, KW Chang, CJ Hsieh EMNLP 2021 arXiv:2108.12777, 2021 | 40 | 2021 |
| Internlm: A multilingual language model with progressively enhanced capabilities ILM Team 2023-01-06)[2023-09-27]. https://github. com/InternLM/InternLM, 2023 | 32 | 2023 |
| Certified robustness to text adversarial attacks by randomized [mask] J Zeng, J Xu, X Zheng, X Huang Computational Linguistics 49 (2), 395-427, 2023 | 29 | 2023 |
| COOKIE: Contrastive cross-modal knowledge sharing pre-training for vision-language representation K Wen, J Xia, Y Huang, L Li, J Xu, J Shao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 25 | 2021 |
| SENT: Sentence-level Distant Relation Extraction via Negative Training R Ma, T Gui, L Li, Q Zhang, Y Zhou, X Huang ACL2021 arXiv:2106.11566, 2021 | 22 | 2021 |
| KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier L Li, D Song, R Ma, X Qiu, X Huang arXiv preprint arXiv:2110.02523, 2021 | 15 | 2021 |
| Moss: Training conversational language models from synthetic data T Sun, X Zhang, Z He, P Li, Q Cheng, H Yan, X Liu, Y Shao, Q Tang, ... arXiv preprint arXiv:2307.15020 7, 2023 | 13 | 2023 |
| Generating adversarial examples in chinese texts using sentence-pieces L Li, Y Shao, D Song, X Qiu, X Huang arXiv preprint arXiv:2012.14769, 2020 | 11 | 2020 |
| " Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction Y Dai*, L Li*, C Zhou, Z Feng, E Zhao, X Qiu, P Li, D Tang Findings of ACL 2022 arXiv preprint arXiv:2203.00286, 2022 | 10 | 2022 |
| Improving Contrastive Learning of Sentence Embeddings from AI Feedback Q Cheng, X Yang, T Sun, L Li, X Qiu Findings of ACL 2023 arXiv preprint arXiv:2305.01918, 2023 | 8 | 2023 |
| MarkBERT: marking word boundaries improves Chinese BERT L Li, Y Dai, D Tang, X Qiu, Z Xu, S Shi NLPCC 2023 arXiv:2203.06378, 2022 | 7 | 2022 |
| Is MultiWOZ a Solved Task? An Interactive TOD Evaluation Framework with User Simulator Q Cheng*, L Li*, G Quan, F Gao, X Mou, X Qiu Findings of EMNLP 2022 arXiv preprint arXiv:2210.14529, 2022 | 6 | 2022 |
| Origin Tracing and Detecting of LLMs L Li, P Wang, K Ren, T Sun, X Qiu arXiv preprint arXiv:2304.14072, 2023 | 5 | 2023 |
| Towards adversarially robust text classifiers by learning to reweight clean examples J Xu, C Zhang, X Zheng, L Li, CJ Hsieh, KW Chang, XJ Huang Findings of the Association for Computational Linguistics: ACL 2022, 1694-1707, 2022 | 5 | 2022 |
| Text Adversarial Purification as Defense against Adversarial Attacks L Li, D Song, X Qiu ACL 2023 arXiv preprint arXiv:2203.14207, 2022 | 4* | 2022 |
Xipeng Qiu（邱锡鹏）Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
