Weize Chen

According to our database, Weize Chen authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

2024

Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication.

Weize Chen, Chenfei Yuan, Jiarui Yuan, Yusheng Su, Chen Qian, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun

CoRR, 2024

2023

Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study.

Yufei Lu, Yichun Ning, Yang Li, Bowen Zhu, Jian Zhang, Yan Yang, Weize Chen, Zhixin Yan, Annan Chen, Bo Shen, Yi Fang, Dong Wang, Nana Song, Xiaoqiang Ding

BMC Medical Informatics Decis. Mak., December, 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

Experiential Co-Learning of Software-Developing Agents.

Chen Qian, Yufan Dang, Jiahao Li, Wei Liu, Weize Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun

CoRR, 2023

D-Bot: Database Diagnosis System using Large Language Models.

Xuanhe Zhou, Guoliang Li, Zhaoyan Sun, Zhiyuan Liu, Weize Chen, Jianming Wu, Jiesi Liu, Ruohang Feng, Guoyang Zeng

CoRR, 2023

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents.

Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chen Qian, Chi-Min Chan, Yujia Qin, Yaxi Lu, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou

CoRR, 2023

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu

CoRR, 2023

Communicative Agents for Software Development.

Chen Qian, Xin Cong, Cheng Yang, Weize Chen, Yusheng Su, Juyuan Xu, Zhiyuan Liu, 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

Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models.

Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning.

Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

M³CV: A multi-subject, multi-session, and multi-task database for EEG-based biometrics challenge.

Gan Huang, Zhenxing Hu, Weize Chen, Shaorong Zhang, Zhen Liang, Linling Li, Li Zhang, Zhiguo Zhang

NeuroImage, 2022

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning.

Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou

CoRR, 2022

GACT: Activation Compressed Training for General Architectures.

Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung

CoRR, 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

GACT: Activation Compressed Training for Generic Network Architectures.

Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung

Proceedings of the International Conference on Machine Learning, 2022

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning.

Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Exploring Mode Connectivity for Pre-trained Language Models.

Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou

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

Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages.

Xu Han, Yuqi Luo, Weize Chen, Zhiyuan Liu, Maosong Sun, Botong Zhou, Fei Hao, Suncong Zheng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fully Hyperbolic Neural Networks.

Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Cross-Sessions and Cross-Paradigms Analysis for the Problem of Brain-Computer Interface Inefficiency^*.

Weize Chen, Gan Huang, Zhenxing Hu, Li Zhang, Linling Li, Zhen Liang, Zhiguo Zhang

Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021

2019

Quantifying Similarity between Relations with Fact Distribution.

Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019