Self-adaptive In-context Learning. - Zhiyong Wu 003; Yaoxiang Wang; Jiacheng Ye; Lingpeng Kong (CoRR, 2022)

Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering. - Zhiyong Wu 003; Yaoxiang Wang; Jiacheng Ye; Lingpeng Kong (ACL (1), 2023)

OpenICL: An Open-Source Framework for In-context Learning. - Zhenyu Wu; Yaoxiang Wang; Jiacheng Ye; Zhiyong Wu 003; Jiangtao Feng; Jingjing Xu 001; Yu Qiao 001 (ACL (demo), 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 003 (EMNLP, 2023)

TDAG: A multi-agent framework based on dynamic Task Decomposition and Agent Generation. - Yaoxiang Wang; Zhiyong Wu 003; Junfeng Yao; Jinsong Su (Neural Networks, 2025)

EpiCoder: Encompassing Diversity and Complexity in Code Generation. - Yaoxiang Wang; Haoling Li; Xin Zhang 099; Jie Wu; Xiao Liu 029; Wenxiang Hu; Zhongxin Guo; Yangyu Huang; Ying Xin; Yujiu Yang; Jinsong Su; Qi Chen 009; et al. (CoRR, 2025)

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models. - Zhenghao Lin; Zihao Tang; Xiao Liu 029; Yeyun Gong; Yi Cheng; Qi Chen 009; Hang Li; Ying Xin; Ziyue Yang; Kailai Yang; Yu Yan; Xiao Liang; et al. (CoRR, 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, 2025)