Mini-Giants: "Small" Language Models and Open Source Win-Win. - Zhengping Zhou; Lezhi Li; Xinxi Chen; Andy Li (CoRR, 2023)

Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG. - Xinxi Chen; Li Wang; Wei Wu; Qi Tang; Yiyao Liu (CoRR, 2024)

MACL: Metric and Attribute Space Co-learning for Qualitative Data Clustering. - Haoyi Xiao; Xinxi Chen; Xiaopeng Luo; Xiang Zhang; Gengwen Huang; Wei Ai (ICIC (12), 2025)

Towards Clustering of Incomplete Mixed-Attribute Data. - Chuyao Zhang; Xinxi Chen; Zexi Tan; Fangqing Gu; Yuzhu Ji; Yiqun Zhang 006 (Expert Syst. J. Knowl. Eng., 2025)