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2020 – today
- 2026
[j2]Changze Lv
, Tianlong Li, Weiming Qiao, Xiaohua Wang, Muling Wu, Wenhao Liu, Shihan Dou, Xiaoqing Zheng, Xuanjing Huang:
SpikeBERT: A language spikformer learned from BERT with knowledge distillation. Neural Networks 197: 108482 (2026)- [c28]Yixin Wu, Feiran Zhang, Tianyuan Shi, Ruicheng Yin, Zhenghua Wang, Zhenliang Gan, Xiaohua Wang, Changze Lv, Xiaoqing Zheng, Xuanjing Huang:
Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling. AAAI 2026: 10844-10852 - [c27]Zisu Huang, Muzhao Tian, Xiaohua Wang, Jingwen Xu, Zhengkang Guo, Qi Qian, Kaitao Song, Jiakang Yuan, Changze Lv, Xiaoqing Zheng:
Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction. ACL (1) 2026: 14699-14719 - [c26]Zhenghua Wang, Yixin Wu, Feiran Zhang, Qi Qian, Changze Lv, Xuanjing Huang, Xiaoqing Zheng:
Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation. ACL (Findings) 2026: 20310-20321 - [c25]Zhenghua Wang, Yiran Ding, Changze Lv, Yixin Wu, Tianlong Li, Zhibo Xu, Muling Wu, Tianyuan Shi, Shizheng Li, Qi Qian, Xuanjing Huang, Xiaoqing Zheng:
Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling. ACL (Findings) 2026: 21084-21098 - [c24]Feiran Zhang, Yixin Wu, Zhenghua Wang, Xiaohua Wang, Changze Lv, Xuanjing Huang, Xiaoqing Zheng:
VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck. ACL (1) 2026: 23509-23521 - [c23]Yubing Bao, ZhiHui Lu, Qiang Duan, Changze Lv, Xin Du, Zeyi Deng, Jingqi Feng, Sen Liu, Yang Chen, Xin Wang:
TPipe: Efficient Spiking Transformer Training with Time Parallelism and Asynchronous Pipeline. INFOCOM 2026: 1-10 - [c22]Di Yu, Helin Zheng, Changze Lv, Xin Du, Linshan Jiang, Xiang Liu, Gang Pan, Shuiguang Deng:
MASI: Memory-Adaptive Inference Framework for Spiking Neural Networks on Edge Devices. WWW 2026: 5063-5074 - [i44]Qi Qian, Chengsong Huang, Jingwen Xu, Changze Lv, Muling Wu, Wenhao Liu, Xiaogang Wang, Zhenghua Wang, Zisu Huang, Muzhao Tian, Jianhan Xu, Kun Hu, He-Da Wang, Yao Hu, Xuanjing Huang, Xiaoqing Zheng:
Benchmark^2: Systematic Evaluation of LLM Benchmarks. CoRR abs/2601.03986 (2026) - [i43]Yiyang Lu, Jingwen Xu, Changze Lv, Zisu Huang, Zhengkang Guo, Zhengyuan Wang, Muzhao Tian, Xuanjing Huang, Xiaoqing Zheng:
CSSG: Measuring Code Similarity with Semantic Graphs. CoRR abs/2601.04085 (2026) - [i42]Muzhao Tian, Zisu Huang, Xiaohua Wang, Jingwen Xu, Zhengkang Guo, Qi Qian, Yuanzhe Shen, Kaitao Song, Jiakang Yuan, Changze Lv, Xiaoqing Zheng:
Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction. CoRR abs/2601.05107 (2026) - [i41]Feiran Zhang, Yixin Wu, Zhenghua Wang, Xiaohua Wang, Changze Lv, Xuanjing Huang, Xiaoqing Zheng:
VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck. CoRR abs/2601.05547 (2026) - [i40]Yanbin Huang, Man Yao, Yuqi Pan, Changze Lv, Siyuan Xu, Xiaoqing Zheng, Bo Xu, Guoqi Li:
Parallel Training in Spiking Neural Networks. CoRR abs/2602.01133 (2026) - [i39]Jingwen Xu, Yiyang Lu, Zisu Huang, Changze Lv, Xiaohua Wang, Shizheng Li, Zhibo Xu, Zhengkang Guo, Zhengyuan Wang, Muzhao Tian, Xuanjing Huang, Xiaoqing Zheng:
BatCoder: Self-Supervised Bidirectional Code-Documentation Learning via Back-Translation. CoRR abs/2602.02554 (2026) - [i38]Changze Lv, Jie Zhou, Wentao Zhao, Jingwen Xu, Zisu Huang, Muzhao Tian, Shihan Dou, Tao Gui, Le Tian, Xiao Zhou, Xiaoqing Zheng, Xuanjing Huang, Jie Zhou:
Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation. CoRR abs/2602.03619 (2026) - [i37]Xiaohua Wang, Muzhao Tian, Yuqi Zeng, Zisu Huang, Jiakang Yuan, Bowen Chen, Jingwen Xu, Mingbo Zhou, Wenhao Liu, Muling Wu, Zhengkang Guo, Qi Qian, Yifei Wang, Feiran Zhang, Ruicheng Yin, Shihan Dou, Changze Lv, Tao Chen, Kaitao Song, Xu Tan, Tao Gui, Xiaoqing Zheng, Xuanjing Huang:
Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges. CoRR abs/2604.13602 (2026) - [i36]Shihan Dou, Yujiong Shen, Chenhao Huang, Junjie Ye, Jiayi Chen, Junzhe Wang, Qianyu He, Shichun Liu, Changze Lv, Jiahang Lin, Jiazheng Zhang, Ming Zhang, Shaofan Liu, Tao Ji, Zhangyue Yin, Cheng Zhang, Huaibing Xie, Jianglu Hu, Jingcheng Deng, Lincheng Li, Minda Hu, Shaolei Wang, Syrus Zhao, Weichao Wang, Yan Lei, Yang Liu, Yanling Xiao, Yiting Liu, Zenan Xu, Zhen Guo, Ziliang Zhao, Pluto Zhou, Tao Gui, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Di Wang, Shunyu Yao:
CL-bench Life: Can Language Models Learn from Real-Life Context? CoRR abs/2604.27043 (2026) - [i35]Kaiwen Tang, Di Yu, Jiaqi Zheng, Changze Lv, Qianhui Liu, Zhanglu Yan, Weng-Fai Wong:
ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization. CoRR abs/2605.01866 (2026) - [i34]Di Yu, Zhenyu Liao, Changze Lv, Wentao Tong, Linshan Jiang, Sijie Ji, Xin Du, Hailiang Zhao, Xiaoqing Zheng, Shuiguang Deng:
Frequency Matching in Spiking Neural Networks for mmWave Sensing. CoRR abs/2605.09983 (2026) - [i33]Zisu Huang, Jingwen Xu, Yifan Yang, Ziyang Gong, Qihao Yang, Muzhao Tian, Xiaohua Wang, Changze Lv, Xuemei Gao, Qi Dai, Bei Liu, Kai Qiu, Xue Yang, Dongdong Chen, Xiaoqing Zheng, Chong Luo:
From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills. CoRR abs/2605.23899 (2026) - [i32]Xiaohua Wang, Jiakang Yuan, Zisu Huang, Muzhao Tian, Changze Lv, Kaitao Song, Tao Chen, Xiaoqing Zheng:
From Static Context to Calibrated Interactive RL: Mitigating Distribution Shift in Multi-turn Dialogue with Aligned Simulator. CoRR abs/2605.26403 (2026) - [i31]Keyue Qiu, Yixin Wu, Lihao Wang, Yawen Ouyang, Jixiang Yu, Zihan Zhou, Changze Lv, Dongyu Xue, Yuxuan Song, Xinbo Zhang, Hao Wang, Jiangtao Feng, Zhiqiang Gao, Lijun Wu, Xiaoqing Zheng, Ka-Chun Wong, Lei Bai, Ya-Qin Zhang, Wei-Ying Ma, Dahua Lin, Bowen Zhou, Hao Zhou:
AMix-2: Establishing Protein as a Native Modality in Large Language Models. CoRR abs/2605.30963 (2026) - [i30]Changze Lv, Zhenghua Wang, Yiran Ding, Yixin Wu, Tianlong Li, Zhibo Xu, Muling Wu, Tianyuan Shi, Shizheng Li, Qi Qian, Xuanjing Huang, Xiaoqing Zheng:
Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling. CoRR abs/2606.27705 (2026) - 2025
- [j1]Changze Lv, Tianlong Li, Wenhao Liu, Yufei Gu, Jianhan Xu, Cenyuan Zhang, Muling Wu, Xiaoqing Zheng, Xuanjing Huang:
SpikeCLIP: A contrastive language-image pretrained spiking neural network. Neural Networks 188: 107475 (2025) - [c21]Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Weikang Zhou, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Zhiheng Xi, Muling Wu, Rui Zheng, Changze Lv, Limao Xiong, Shaoqing Zhang, Lin Zhang, Wenyu Zhan, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang:
Multi-Programming Language Sandbox for LLMs. ACL (3) 2025: 40-50 - [c20]Wenhao Liu, Siyu An, Junru Lu, Muling Wu, Tianlong Li, Xiaohua Wang, Changze Lv, Xiaoqing Zheng, Di Yin, Xing Sun, Xuanjing Huang:
Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing. ACL (Findings) 2025: 5983-6005 - [c19]Kaimin Wang, Yuanzhe Shen, Changze Lv, Xiaoqing Zheng, Xuanjing Huang:
TripTailor: A Real-World Benchmark for Personalized Travel Planning. ACL (Findings) 2025: 9705-9723 - [c18]Ruicheng Yin, Xuan Gao, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang:
Improving Continual Pre-training Through Seamless Data Packing. ACL (Findings) 2025: 15014-15032 - [c17]Haozhe Xu, Xiaohua Wang, Changze Lv, Xiaoqing Zheng:
Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation. ACL (1) 2025: 15573-15590 - [c16]Changze Lv, Tianlong Li, Xiaohua Wang, Muling Wu, Wenhao Liu, Shihan Dou, Xiaoqing Zheng, Xuanjing Huang:
SpikeBERT: A Language Understanding Spiking Neural Network Learned from BERT with Knowledge Distillation. CogSci 2025 - [c15]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 - [c14]Tianlong Li, Wenhao Liu, Muling Wu, Shihan Dou, Zhenghua Wang, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang:
UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation. EMNLP (Findings) 2025: 4122-4136 - [c13]Zhibo Xu, Jianhao Zhu, Jingwen Xu, Changze Lv, Zhenghua Wang, Zisu Huang, Xiaohua Wang, Muling Wu, Qi Qian, Xiaoqing Zheng, Xuanjing Huang:
Enhancing Model Privacy in Federated Learning with Random Masking and Quantization. EMNLP (Findings) 2025: 11804-11816 - [c12]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. ICML 2025 - [c11]Di Yu, Changze Lv, Xin Du, Linshan Jiang, Qing Yin, Wentao Tong, Xiaoqing Zheng, Shuiguang Deng:
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks. IJCAI 2025: 3579-3587 - [c10]Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng:
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks. IJCAI 2025: 6904-6912 - [c9]Changze Lv, Yansen Wang, Dongqi Han, Yifei Shen, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li:
Toward Relative Positional Encoding in Spiking Transformers. NeurIPS 2025 - [i29]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) - [i28]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) - [i27]Zhenghua Wang, Yiran Ding, Changze Lv, Zhibo Xu, Tianlong Li, Tianyuan Shi, Xiaoqing Zheng, Xuanjing Huang:
Layer-Specific Scaling of Positional Encodings for Superior Long-Context Modeling. CoRR abs/2503.04355 (2025) - [i26]Yixin Wu, Feiran Zhang, Tianyuan Shi, Ruicheng Yin, Zhenghua Wang, Zhenliang Gan, Xiaohua Wang, Changze Lv, Xiaoqing Zheng, Xuanjing Huang:
Explainable Synthetic Image Detection through Diffusion Timestep Ensembling. CoRR abs/2503.06201 (2025) - [i25]Wenhao Liu, Zhengkang Guo, Mingchen Xie, Jingwen Xu, Zisu Huang, Muzhao Tian, Jianhan Xu, Muling Wu, Xiaohua Wang, Changze Lv, He-Da Wang, Hu Yao, Xiaoqing Zheng, Xuanjing Huang:
RECAST: Strengthening LLMs' Complex Instruction Following with Constraint-Verifiable Data. CoRR abs/2505.19030 (2025) - [i24]Di Yu, Changze Lv, Xin Du, Linshan Jiang, Wentao Tong, Zhenyu Liao, Xiaoqing Zheng, Shuiguang Deng:
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks. CoRR abs/2505.20835 (2025) - [i23]Ruicheng Yin, Xuan Gao, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang:
Improving Continual Pre-training Through Seamless Data Packing. CoRR abs/2505.22018 (2025) - [i22]Muling Wu, Qi Qian, Wenhao Liu, Xiaohua Wang, Zisu Huang, Di Liang, Li Miao, Shihan Dou, Changze Lv, Zhenghua Wang, Zhibo Xu, Lina Chen, Tianlong Li, Xiaoqing Zheng, Xuanjing Huang:
Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning. CoRR abs/2506.04065 (2025) - [i21]Changze Lv, Jiang Zhou, Siyu Long, Lihao Wang, Jiangtao Feng, Dongyu Xue, Yu Pei, Hao Wang, Zherui Zhang, Yuchen Cai, Zhiqiang Gao, Ziyuan Ma, Jiakai Hu, Chaochen Gao, Jingjing Gong, Yuxuan Song, Shuyi Zhang, Xiaoqing Zheng, Deyi Xiong, Lei Bai, Wanli Ouyang, Ya-Qin Zhang, Wei-Ying Ma, Bowen Zhou, Hao Zhou:
AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model. CoRR abs/2507.08920 (2025) - [i20]Shuiguang Deng, Di Yu, Changze Lv, Xin Du, Linshan Jiang, Xiaofan Zhao, Wentao Tong, Xiaoqing Zheng, Weijia Fang, Peng Zhao, Gang Pan, Schahram Dustdar, Albert Y. Zomaya:
Edge Intelligence with Spiking Neural Networks. CoRR abs/2507.14069 (2025) - [i19]Zeqi Zheng, Zizheng Zhu, Yingchao Yu, Yanchen Huang, Changze Lv, Junfeng Tang, Zhaofei Yu, Yaochu Jin:
STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers. CoRR abs/2508.00387 (2025) - [i18]Yuanzhe Shen, Kaimin Wang, Changze Lv, Xiaoqing Zheng, Xuanjing Huang:
TripTailor: A Real-World Benchmark for Personalized Travel Planning. CoRR abs/2508.01432 (2025) - [i17]Bang Hu, Changze Lv, Mingjie Li, Yunpeng Liu, Xiaoqing Zheng, Fengzhe Zhang, Wei cao, Fan Zhang:
SpikeSTAG: Spatial-Temporal Forecasting via GNN-SNN Collaboration. CoRR abs/2508.02069 (2025) - [i16]Haozhe Xu, Xiaohua Wang, Changze Lv, Xiaoqing Zheng:
Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation. CoRR abs/2508.05657 (2025) - [i15]Zhibo Xu, Jianhao Zhu, Jingwen Xu, Changze Lv, Zisu Huang, Xiaohua Wang, Muling Wu, Qi Qian, Xiaoqing Zheng, Xuanjing Huang:
Enhancing Model Privacy in Federated Learning with Random Masking and Quantization. CoRR abs/2508.18911 (2025) - [i14]Changze Lv, Yifei Wang, Yanxun Zhang, Yiyang Lu, Jingwen Xu, Di Yu, Xin Du, Xuanjing Huang, Xiaoqing Zheng:
Biologically Plausible Learning via Bidirectional Spike-Based Distillation. CoRR abs/2509.20284 (2025) - [i13]Huijing Zhang, Muyang Cao, Linshan Jiang, Xin Du, Di Yu, Changze Lv, Shuiguang Deng:
SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network. CoRR abs/2510.03648 (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: 33624-33637 - [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)
Coauthor Index
[j2] [c28] [c27] [c26] [c25] [c24] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i34] [i33] [i32] [i31] [i30] [j1] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i18] [i17] [i16] [i15] [i14] [c8] [c7] [c6] [c5] [c4] [c3] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [c2] [c1] [i3] [i2] [i1]
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