Spiking Convolutional Neural Networks for Text Classification C Lv, J Xu, X Zheng The Eleventh International Conference on Learning Representations (ICLR 2023), 2023 | 20 | 2023 |
Aligning large language models with human preferences through representation engineering W Liu, X Wang, M Wu, T Li, C Lv, Z Ling, J Zhu, C Zhang, X Zheng, ... arXiv preprint arXiv:2312.15997, 2023 | 4 | 2023 |
Tailoring Personality Traits in Large Language Models via Unsupervisedly-Built Personalized Lexicons T Li, S Dou, C Lv, W Liu, J Xu, M Wu, Z Ling, X Zheng, X Huang arXiv preprint arXiv:2310.16582, 2023 | 4 | 2023 |
Open the Pandora's Box of LLMs: Jailbreaking LLMs through Representation Engineering T Li, S Dou, W Liu, M Wu, C Lv, X Zheng, X Huang arXiv preprint arXiv:2401.06824, 2024 | 2 | 2024 |
Parameter efficient multi-task fine-tuning by learning to transfer token-wise prompts M Wu, W Liu, J Xu, C Lv, Z Ling, T Li, L Huang, X Zheng, XJ Huang Findings of the Association for Computational Linguistics: EMNLP 2023, 8734-8746, 2023 | 2 | 2023 |
SpikeBERT: A Language Spikformer Learned from BERT with Knowledge Distillation C Lv, T Li, J Xu, C Gu, Z Ling, C Zhang, X Zheng, X Huang arXiv preprint arXiv:2308.15122, 2023 | 2* | 2023 |
Advancing Parameter Efficiency in Fine-tuning via Representation Editing M Wu, W Liu, X Wang, T Li, C Lv, Z Ling, J Zhu, C Zhang, X Zheng, ... arXiv preprint arXiv:2402.15179, 2024 | 1 | 2024 |
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks C Lv, Y Wang, D Han, X Zheng, X Huang, D Li arXiv preprint arXiv:2402.01533, 2024 | | 2024 |
Decoding Continuous Character-based Language from Non-invasive Brain Recordings C Zhang, X Zheng, R Yin, S Geng, J Xu, X Gao, C Lv, Z Ling, X Huang, ... bioRxiv, 2024.03. 19.585656, 2024 | | 2024 |
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network T Li, W Liu, C Lv, J Xu, C Zhang, M Wu, X Zheng, X Huang arXiv preprint arXiv:2310.06488, 2023 | | 2023 |