Spiking Convolutional Neural Networks for Text Classification C Lv, J Xu, X Zheng ICLR 2023, 2023 | 36* | 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 | 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, ... ACL 2024, Main, 2023 | 15 | 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, ... EMNLP 2024, Main, 2024 | 12 | 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, ... ACL 2024, Main, 2024 | 12 | 2024 |
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 | 11 | 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 | 7 | 2023 |
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks C Lv, Y Wang, D Han, X Zheng, X Huang, D Li ICML 2024, 2024 | 4 | 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 EMNLP 2023, Findings, 8734-8746, 2023 | 3 | 2023 |
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 |
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA Z JianHao, C Lv, X Wang, M Wu, W Liu, T Li, Z Ling, C Zhang, X Zheng, ... Findings of the Association for Computational Linguistics: EMNLP 2024, 10501 …, 2024 | | 2024 |
Multi-Programming Language Sandbox for LLMs S Dou, J Zhang, J Zang, Y Tao, H Jia, S Liu, Y Yang, S Wu, S Zhang, ... 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 |
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, ... EMNLP 2024, Findings, 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 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 |