Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models. - Lei Wang 185; Jiabang He; Xing Xu 001; Ning Liu; Hui Liu (AAAI, 2023)

ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction. - Jiabang He; Lei Wang 185; Yi Hu; Ning Liu; Hui Liu; Xing Xu 001; Heng Tao Shen (ICCV, 2023)

Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models. - Jiabang He; Yi Hu; Lei Wang 185; Xing Xu 001; Ning Liu; Hui Liu; Heng Tao Shen (SIGIR, 2023)

MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models. - Jiabang He; Liu Jia; Lei Wang 185; Xiyao Li; Xing Xu 001 (CoRR, 2023)

T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering. - Lei Wang 185; Yi Hu; Jiabang He; Xing Xu 001; Ning Liu; Hui Liu; Heng Tao Shen (AAAI, 2024)

MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models. - Jiabang He; Jia Liu; Lei Wang; Xiyao Li; Xing Xu (ICME, 2024)

Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites. - Lei Wang 185; Jiabang He; Shenshen Li; Ning Liu; Ee-Peng Lim (MMM (4), 2024)