Yaoxiang Wang

According to our database, Yaoxiang Wang authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Recycling Pretrained Checkpoints: Orthogonal Growth of Mixture-of-Experts for Efficient Large Language Model Pre-Training.

Ruizhe Wang, Yucheng Ding, Xiao Liu, Yaoxiang Wang, Peng Cheng, Baining Guo, Zhengjun Zha, Yeyun Gong

CoRR, October, 2025

Training Matryoshka Mixture-of-Experts for Elastic Inference-Time Expert Utilization.

Yaoxiang Wang, Qingguo Hu, Yucheng Ding, Ruizhe Wang, Yeyun Gong, Jian Jiao, Yelong Shen, Peng Cheng, Jinsong Su

CoRR, September, 2025

Tool Graph Retriever: Exploring Dependency Graph-based Tool Retrieval for Large Language Models.

Linfeng Gao, Yaoxiang Wang, Minlong Peng, Jialong Tang, Yuzhe Shang, Mingming Sun, Jinsong Su

CoRR, August, 2025

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models.

Zhenghao Lin, Zihao Tang, Xiao Liu, Yeyun Gong, Yi Cheng, Qi Chen, Hang Li, Ying Xin, Ziyue Yang, Kailai Yang, Yu Yan, Xiao Liang, Shuai Lu, Yiming Huang, Zheheng Luo, Lei Qu, Xuan Feng, Yaoxiang Wang, Yuqing Xia, Feiyang Chen, Yuting Jiang, Yasen Hu, Hao Ni, Binyang Li, Guoshuai Zhao, Jui-Hao Chiang, Zhongxin Guo, Chen Lin, Kun Kuang, Wenjie Li, Yelong Shen, Jian Jiao, Peng Cheng, Mao Yang

CoRR, January, 2025

EpiCoder: Encompassing Diversity and Complexity in Code Generation.

Yaoxiang Wang, Haoling Li, Xin Zhang, Jie Wu, Xiao Liu, Wenxiang Hu, Zhongxin Guo, Yangyu Huang, Ying Xin, Yujiu Yang, Jinsong Su, Qi Chen, Scarlett Li

CoRR, January, 2025

TDAG: A multi-agent framework based on dynamic Task Decomposition and Agent Generation.

Yaoxiang Wang, Zhiyong Wu, Junfeng Yao, Jinsong Su

Neural Networks, 2025

2023

IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models.

Xiaoyue Wang, Xin Liu, Lijie Wang, Yaoxiang Wang, Jinsong Su, Hua Wu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

OpenICL: An Open-Source Framework for In-context Learning.

Zhenyu Wu, Yaoxiang Wang, Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Jingjing Xu, Yu Qiao

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

Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering.

Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, Lingpeng Kong

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Self-adaptive In-context Learning.

Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, Lingpeng Kong

CoRR, 2022