| Spiking Convolutional Neural Networks for Text Classification C Lv, J Xu, X Zheng International Conference on Learning Representations (ICLR), 2023, 2023 | 41* | 2023 |
| Searching for best practices in retrieval-augmented generation X Wang, Z Wang, X Gao, F Zhang, Y Wu, Z Xu, T Shi, Z Wang, S Li, ... Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024 …, 2024 | 33 | 2024 |
| 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 | 21* | 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, ... Annual Meeting of the Association for Computational Linguistics (ACL), 2024 …, 2023 | 19 | 2023 |
| Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective T Li, Z Wang, W Liu, M Wu, S Dou, C Lv, W Xiaohua, X Zheng, X Huang International Conference on Computational Linguistics (COLING), 2025, 2024 | 15* | 2024 |
| 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, ... Annual Meeting of the Association for Computational Linguistics (ACL), 2024 …, 2024 | 14 | 2024 |
| 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 | 8 | 2023 |
| Efficient and Effective Time-Series Forecasting with Spiking Neural Networks C Lv, Y Wang, D Han, X Zheng, X Huang, D Li International Conference on Machine Learning (ICML), 2024, 2024 | 7 | 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 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 …, 2023 | 3 | 2023 |
| Promoting Data and Model Privacy in Federated Learning through Quantized LoRA JH Zhu, C Lv, X Wang, M Wu, W Liu, T Li, Z Ling, C Zhang, X Zheng, ... Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024 …, 2024 | 2 | 2024 |
| Spikeclip: A contrastive language-image pretrained spiking neural network T Li, W Liu, C Lv, Y Gu, J Xu, C Zhang, M Wu, X Zheng, X Huang arXiv preprint arXiv:2310.06488, 2023 | 2 | 2023 |
| Toward Relative Positional Encoding in Spiking Transformers C Lv, Y Wang, D Han, Y Shen, X Zheng, X Huang, D Li arXiv preprint arXiv:2501.16745, 2025 | | 2025 |
| Dendritic Localized Learning: Toward Biologically Plausible Algorithm C Lv, J Xu, Y Lu, X Wang, Z Wang, Z Xu, D Yu, X Du, X Zheng, X Huang arXiv preprint arXiv:2501.09976, 2025 | | 2025 |
| Multi-Programming Language Sandbox for LLMs S Dou, J Zhang, J Zang, Y Tao, W Zhou, H Jia, S Liu, Y Yang, Z Xi, S Wu, ... arXiv preprint arXiv:2410.23074, 2024 | | 2024 |
| Towards Biologically Plausible Computing: A Comprehensive Comparison C Lv, Y Gu, Z Guo, Z Xu, Y Wu, F Zhang, T Shi, Z Wang, R Yin, Y Shang, ... arXiv preprint arXiv:2406.16062, 2024 | | 2024 |
| Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators C Lv, D Han, Y Wang, X Zheng, X Huang, D Li Neural Information Processing Systems (NeurIPS), 2024, 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 |
Xiaoqing ZhengFudan UniversityE-mailová adresa ověřena na: fudan.edu.cn