Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers. - Weng Lam Tam; Xiao Liu 036; Kaixuan Ji; Lilong Xue; Xingjian Zhang 009; Yuxiao Dong; Jiahua Liu; Maodi Hu; Jie Tang 001 (CoRR, 2022)

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers. - Weng Tam; Xiao Liu 036; Kaixuan Ji; Lilong Xue; Jiahua Liu; Tao Li; Yuxiao Dong; Jie Tang 001 (EMNLP (Findings), 2023)

AutoRE: Document-Level Relation Extraction with Large Language Models. - Lilong Xue; Dan Zhang; Yuxiao Dong; Jie Tang 001 (CoRR, 2024)

Parameter-Efficient Fine-Tuning for Foundation Models. - Dan Zhang; Tao Feng 014; Lilong Xue; Yuandong Wang; Yuxiao Dong; Jie Tang 001 (CoRR, 2025)