Bert-attack: Adversarial attack against bert using bert L Li, R Ma, Q Guo, X Xue, X Qiu EMNLP2020 arXiv:2004.09984, 2020 | 601 | 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 | 152 | 2021 |
Internlm: A multilingual language model with progressively enhanced capabilities ILM Team 2023-01-06)[2023-09-27]. https://github. com/InternLM/InternLM, 2023 | 145 | 2023 |
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 | 91 | 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 | 79* | 2021 |
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 | 65 | 2021 |
Character-LLM: A Trainable Agent for Role-Playing Y Shao, L Li, J Dai, X Qiu EMNLP 2023 long paper arXiv preprint arXiv:2310.10158, 2023 | 62 | 2023 |
Internlm2 technical report Z Cai, M Cao, H Chen, K Chen, K Chen, X Chen, X Chen, Z Chen, Z Chen, ... arXiv preprint arXiv:2403.17297, 2024 | 57 | 2024 |
Certified robustness to text adversarial attacks by randomized [mask] J Zeng, J Xu, X Zheng, X Huang Computational Linguistics 49 (2), 395-427, 2023 | 57 | 2023 |
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 | 51 | 2018 |
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, 3, 2023 | 45 | 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 | 39 | 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 | 32 | 2021 |
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 | 28 | 2023 |
Anygpt: Unified multimodal llm with discrete sequence modeling J Zhan, J Dai, J Ye, Y Zhou, D Zhang, Z Liu, X Zhang, R Yuan, G Zhang, ... arXiv preprint arXiv:2402.12226, 2024 | 21 | 2024 |
SeqXGPT: Sentence-Level AI-Generated Text Detection P Wang, L Li, K Ren, B Jiang, D Zhang, X Qiu EMNLP 2023 long paper arXiv preprint arXiv:2310.08903, 2023 | 20 | 2023 |
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 | 20 | 2021 |
Origin tracing and detecting of llms L Li, P Wang, K Ren, T Sun, X Qiu arXiv preprint arXiv:2304.14072, 2023 | 18 | 2023 |
" 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 | 17 | 2022 |
Text Adversarial Purification as Defense against Adversarial Attacks L Li, D Song, X Qiu ACL 2023 arXiv preprint arXiv:2203.14207, 2022 | 16* | 2022 |