| TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models P Cheng, Y Ding, T Ju, Z Wu, W Du, P Yi, Z Zhang, G Liu arXiv preprint arXiv:2405.13401, 2024 | 22 | 2024 |
| How large language models encode context knowledge? a layer-wise probing study T Ju, W Sun, W Du, X Yuan, Z Ren, G Liu arXiv preprint arXiv:2402.16061, 2024 | 14 | 2024 |
| Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models T Ju, Y Chen, X Yuan, Z Zhang, W Du, Y Zheng, G Liu arXiv preprint arXiv:2402.11900, 2024 | 9 | 2024 |
| Is continuous prompt a combination of discrete prompts? towards a novel view for interpreting continuous prompts T Ju, Y Zheng, H Wang, H Zhao, G Liu Findings of the Association for Computational Linguistics: ACL 2023, 7804-7819, 2023 | 6 | 2023 |
| Flooding spread of manipulated knowledge in llm-based multi-agent communities T Ju, Y Wang, X Ma, P Cheng, H Zhao, Y Wang, L Liu, J Xie, Z Zhang, ... arXiv preprint arXiv:2407.07791, 2024 | 5 | 2024 |
| Is it Possible to Edit Large Language Models Robustly? X Ma, T Ju, J Qiu, Z Zhang, Y Wang ICLR 2024 Workshop on Large Language Model (LLM) Agents, 2024 | 5 | 2024 |
| Transferring backdoors between large language models by knowledge distillation P Cheng, Z Wu, T Ju, W Du, ZZG Liu arXiv preprint arXiv:2408.09878, 2024 | 4 | 2024 |
| 自然语言处理中的探针可解释方法综述 鞠天杰， 刘功申， 张倬胜， 张茹 计算机学报 47 (4), 733-758, 2024 | 4 | 2024 |
| LLMs Instruct LLMs: An Extraction and Editing Method X Zhang, T Ju, H Liang, Y Fu, Q Zhang arXiv preprint arXiv:2403.15736, 2024 | 4 | 2024 |
| FLAG: flow representation generator based on self-supervised learning for encrypted traffic classification W Wei, T Ju, H Liao, W Zhao, H Gu Proceedings of the 5th Asia-Pacific Workshop on Networking, 14-20, 2021 | 3 | 2021 |
| Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency Y Zheng, P Tang, T Ju, H Wang, W Qiu, JC Rajapakse 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | 2 | 2024 |
| Neural Linguistic Steganography with Controllable Security T Lu, G Liu, R Zhang, T Ju 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 2 | 2023 |
| Fine-grained contrastive learning for pulmonary nodule classification Y Zheng, P Tang, T Ju, W Qiu, B Yan 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | 1 | 2024 |
| Backdoor NLP Models via AI-Generated Text W Du, T Ju, G Ren, GL Li, G Liu Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 1 | 2024 |
| Robust secret data hiding for transformer-based neural machine translation T Lu, G Liu, R Zhang, P Li, T Ju 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 1 | 2023 |
| On the Robustness of Editing Large Language Models X Ma, T Ju, J Qiu, Z Zhang, H Zhao, L Liu, Y Wang Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
| TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity T Ju, H Liao, G Liu 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | | 2022 |