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Changze Lv (吕昌泽)
Title
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Cited by
Year
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
152023
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
122024
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
122024
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
112024
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
72023
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
42024
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
32023
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
22023
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
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