Weilin Zhao

According to our database, Weilin Zhao authored at least 29 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Ultra-Broadband Ultraviolet-Visible Light-Short Wavelength Infrared InGaAs Focal Plane Arrays via n-InP Contact Layer Removal.

Jiaxin Zhang, Wei Wang, Haifeng Ye, Runyu Huang, Chen Liu, Weilin Zhao, Yanli Shi

Sensors, March, 2024

Enabling Real-Time Conversations with Minimal Training Costs.

Wang Xu, Shuo Wang, Weilin Zhao, Xu Han, Yukun Yan, Yudi Zhang, Zhe Tao, Zhiyuan Liu, Wanxiang Che

CoRR, 2024

Configurable Foundation Models: Building LLMs from a Modular Perspective.

Chaojun Xiao, Zhengyan Zhang, Chenyang Song, Dazhi Jiang, Feng Yao, Xu Han, Xiaozhi Wang, Shuo Wang, Yufei Huang, Guanyu Lin, Yingfa Chen, Weilin Zhao, Yuge Tu, Zexuan Zhong, Ao Zhang, Chenglei Si, Moo Khai Hao, Chenyang Zhao, Huimin Chen, Yankai Lin, Zhiyuan Liu, Jingbo Shang, Maosong Sun

CoRR, 2024

MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Yuan Yao, Tianyu Yu, Ao Zhang, Chongyi Wang, Junbo Cui, Hongji Zhu, Tianchi Cai, Haoyu Li, Weilin Zhao, Zhihui He, Qianyu Chen, Huarong Zhou, Zhensheng Zou, Haoye Zhang, Shengding Hu, Zhi Zheng, Jie Zhou, Jie Cai, Xu Han, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training.

Ao Sun, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun

CoRR, 2024

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zhen Leng Thai, Kai Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun

CoRR, 2024

BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences.

Sun Ao, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun, Shengnan Wang, Teng Su

CoRR, 2024

Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models.

Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Ouroboros: Speculative Decoding with Large Model Enhanced Drafting.

Weilin Zhao, Yuxiang Huang, Xu Han, Chaojun Xiao, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Predicting Emergent Abilities with Infinite Resolution Evaluation.

Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding.

Weilin Zhao, Yuxiang Huang, Xu Han, Wang Xu, Chaojun Xiao, Xinrong Zhang, Yewei Fang, Kaihuo Zhang, Zhiyuan Liu, Maosong Sun

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models.

Xinrong Zhang, Yingfa Chen, Shengding Hu, Xu Han, Zihang Xu, Yuanwei Xu, Weilin Zhao, Maosong Sun, Zhiyuan Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Parameter-efficient fine-tuning of large-scale pre-trained language models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

Nat. Mac. Intell., March, 2023

Unlock Predictable Scaling from Emergent Abilities.

Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

CoRR, 2023

CPET: Effective Parameter-Efficient Tuning for Compressed Large Language Models.

Weilin Zhao, Yuxiang Huang, Xu Han, Zhiyuan Liu, Zhengyan Zhang, Maosong Sun

CoRR, 2023

Tool Learning with Foundation Models.

Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun

CoRR, 2023

H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training.

Yuzhong Wang, Xu Han, Weilin Zhao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models.

Shengding Hu, Ning Ding, Weilin Zhao, Xingtai Lv, Zhen Zhang, Zhiyuan Liu, Maosong Sun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

PTR: Prompt Tuning with Rules for Text Classification.

Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun

AI Open, January, 2022

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

CoRR, 2022

Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models.

Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BMCook: A Task-agnostic Compression Toolkit for Big Models.

Zhengyan Zhang, Baitao Gong, Yingfa Chen, Xu Han, Guoyang Zeng, Weilin Zhao, Yanxu Chen, Zhiyuan Liu, Maosong Sun

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

BMInf: An Efficient Toolkit for Big Model Inference and Tuning.

Xu Han, Guoyang Zeng, Weilin Zhao, Zhiyuan Liu, Zhengyan Zhang, Jie Zhou, Jun Zhang, Jia Chao, Maosong Sun

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

OpenPrompt: An Open-source Framework for Prompt-learning.

Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Haitao Zheng, Maosong Sun

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2019

Half-Duplex Two-Way AF Relaying Network with Energy Harvesting.

Weilin Zhao, Weidang Lu, Yu Zhang, Bo Li, Xin Liu, Zhenyu Na

Proceedings of the Wireless and Satellite Systems, 2019

Energy Efficiency Optimization in OFDM based Two-Way DF Relaying Networks with Energy Harvesting.

Weidang Lu, Weilin Zhao, Hong Peng, Su Hu, Yuan Gao

Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

2018

OFDM Based SWIPT for Two-Way AF Relaying Network.

Weidang Lu, Weilin Zhao, Su Hu, Xin Liu, Bo Li, Yi Gong

IEEE Access, 2018

OFDM Based SWIPT in a Two-Way Relaying Network.

Weilin Zhao, Weidang Lu, Hong Peng, Zhijiang Xu, Jingyu Hua

Proceedings of the Machine Learning and Intelligent Communications, 2018

2015

Service innovation development through china's new urbanization: An economic policy perspective.

Weilin Zhao

Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015