| Is it Possible to Edit Large Language Models Robustly? X Ma, T Ju, J Qiu, Z Zhang, H Zhao, L Liu, Y Wang arXiv preprint arXiv:2402.05827, 2024 | 3 | 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 | 3 | 2023 |
| 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 | 2 | 2021 |
| 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 | 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 |
| 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 | 1 | 2023 |
| LLMs Instruct LLMs: An Extraction and Editing Method X Zhang, T Ju, H Liang, Y Fu, Q Zhang arXiv preprint arXiv:2403.15736, 2024 | | 2024 |
| Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency Y Zheng, P Tang, T Ju, W Qiu, B Yan arXiv preprint arXiv:2403.12695, 2024 | | 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 | | 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 |
