Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction. - Ge Bai; Chenji Lu; Jiaxiang Geng; Shilong Li; Yidong Shi; Xiyan Liu; Ying Liu; Zhang Zhang; Ruifang Liu (EMNLP (Findings), 2023)

CDUMA: An Adaptive Approach for Mitigating Confounder for MCQA. - Shilong Li; Chenji Lu; Ge Bai; Ying Liu; Xiyan Liu; Zhang Zhang; Ruifang Liu (ICASSP, 2024)

CausalME: Balancing bi-modalities in Visual Question Answering. - Chenji Lu; Ge Bai; Shilong Li; Ying Liu; Xiyan Liu; Zerong Zeng; Ruifang Liu (ICASSP, 2024)

Eliminating the Language Bias for Visual Question Answering with fine-grained Causal Intervention. - Ying Liu; Ge Bai; Chenji Lu; Shilong Li; Zhang Zhang; Ruifang Liu; Wenbin Guo (ICME, 2024)

Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning. - Ge Bai; Chenji Lu; Daichi Guo; Shilong Li; Ying Liu; Zhang Zhang; Guanting Dong; Ruifang Liu; Yong Sun (NAACL (Short Papers), 2024)

Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction. - Shilong Li; Ge Bai; Zhang Zhang; Ying Liu; Chenji Lu; Daichi Guo; Ruifang Liu; Yong Sun (NAACL (Short Papers), 2024)

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning. - Gang Zhao; Ximing Zhang; Chenji Lu; Hui Zhao; Tianshu Wu; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007 (WWW (Companion Volume), 2025)