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2020 – today
- 2025
[c9]Tianlong Li, Zhenghua Wang, Wenhao Liu, Muling Wu, Shihan Dou, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang:
Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective. COLING 2025: 3158-3178- [i14]Changze Lv, Jingwen Xu, Yiyang Lu, Xiaohua Wang, Zhenghua Wang, Zhibo Xu, Di Yu, Xin Du, Xiaoqing Zheng, Xuanjing Huang:
Dendritic Localized Learning: Toward Biologically Plausible Algorithm. CoRR abs/2501.09976 (2025) - [i13]Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Toward Relative Positional Encoding in Spiking Transformers. CoRR abs/2501.16745 (2025) - 2024
- [c8]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: 10619-10638 - [c7]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: 13445-13464 - [c6]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. EMNLP (Findings) 2024: 10501-10512 - [c5]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. EMNLP 2024: 17716-17736 - [c4]Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. ICML 2024 - [c3]Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators. NeurIPS 2024 - [i12]Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. CoRR abs/2402.01533 (2024) - [i11]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 abs/2402.15179 (2024) - [i10]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 abs/2403.11183 (2024) - [i9]Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators. CoRR abs/2405.14362 (2024) - [i8]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 abs/2406.10976 (2024) - [i7]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 abs/2406.16062 (2024) - [i6]Changze Lv, Jianhan Xu, Xiaoqing Zheng:
Spiking Convolutional Neural Networks for Text Classification. CoRR abs/2406.19230 (2024) - [i5]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 abs/2407.01219 (2024) - [i4]Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Shaoqing Zhang, Muling Wu, Changze Lv, Limao Xiong, Wenyu Zhan, Lin Zhang, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Rui Zheng, Tao Ji, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang:
Multi-Programming Language Sandbox for LLMs. CoRR abs/2410.23074 (2024) - 2023
- [c2]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: 8734-8746 - [c1]Changze Lv, Jianhan Xu, Xiaoqing Zheng:
Spiking Convolutional Neural Networks for Text Classification. ICLR 2023 - [i3]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 abs/2308.15122 (2023) - [i2]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 abs/2310.06488 (2023) - [i1]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 abs/2312.15997 (2023)
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