Changze Lv

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 15

Top Topics

Retrieval Framework

Approximate Matches

Biologically Plausible

Top Venues

EMNLP (Findings)

Publications

Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
Aligning Large Language Models with Human Preferences through Representation Engineering. ACL (1) (2024)
Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
Advancing Parameter Efficiency in Fine-tuning via Representation Editing. ACL (1) (2024)
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators. CoRR (2024)
Changze Lv, Yufei Gu, Zhengkang Guo, Zhibo Xu, Yixin Wu, Feiran Zhang, Tianyuan Shi, Zhenghua Wang, Ruicheng Yin, Yu Shang, Siqi Zhong, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Jianhao Zhu, Cenyuan Zhang, Zixuan Ling, Xiaoqing Zheng
Towards Biologically Plausible Computing: A Comprehensive Comparison. CoRR (2024)
Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang
Searching for Best Practices in Retrieval-Augmented Generation. CoRR (2024)
Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
Advancing Parameter Efficiency in Fine-tuning via Representation Editing. CoRR (2024)
Changze Lv, Jianhan Xu, Xiaoqing Zheng
Spiking Convolutional Neural Networks for Text Classification. CoRR (2024)
Cenyuan Zhang, Xiaoqing Zheng, Ruicheng Yin, Shujie Geng, Jianhan Xu, Xuan Gao, Changze Lv, Zixuan Ling, Xuanjing Huang, Miao Cao, Jianfeng Feng
Decoding Continuous Character-based Language from Non-invasive Brain Recordings. CoRR (2024)
Jianhao Zhu, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA. CoRR (2024)
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. CoRR (2024)
Changze Lv, Tianlong Li, Jianhan Xu, Chenxi Gu, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
SpikeBERT: A Language Spikformer Trained with Two-Stage Knowledge Distillation from BERT. CoRR (2023)
Changze Lv, Jianhan Xu, Xiaoqing Zheng
Spiking Convolutional Neural Networks for Text Classification. ICLR (2023)
Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang
Aligning Large Language Models with Human Preferences through Representation Engineering. CoRR (2023)
Muling Wu, Wenhao Liu, Jianhan Xu, Changze Lv, Zixuan Ling, Tianlong Li, Longtao Huang, Xiaoqing Zheng, Xuanjing Huang
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts. EMNLP (Findings) (2023)
Tianlong Li, Wenhao Liu, Changze Lv, Jianhan Xu, Cenyuan Zhang, Muling Wu, Xiaoqing Zheng, Xuanjing Huang
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network. CoRR (2023)