Know Where to Go: Make LLM a Relevant, Responsible, and Trustworthy Searcher. - Xiang Shi; Jiawei Liu 002; Yinpeng Liu; Qikai Cheng; Wei Lu 019 (CoRR, 2023)

Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning. - Yinpeng Liu; Jiawei Liu 002; Xiang Shi; Qikai Cheng; Wei Lu 019 (CoRR, 2024)

Every Part Matters: Integrity Verification of Scientific Figures Based on Multimodal Large Language Models. - Xiang Shi; Jiawei Liu 002; Yinpeng Liu; Qikai Cheng; Wei Lu 019 (CoRR, 2024)

PersonaMark: Personalized LLM watermarking for model protection and user attribution. - Yuehan Zhang; Peizhuo Lv; Yinpeng Liu; Yongqiang Ma; Wei Lu 019; Xiaofeng Wang 006; Xiaozhong Liu; Jiawei Liu 002 (CoRR, 2024)

Integrity verification for scientific papers: The first exploration of the text. - Xiang Shi; Yinpeng Liu; Jiawei Liu 002; Qikai Cheng; Wei Lu 019 (Expert Syst. Appl., 2024)

Know where to go: Make LLM a relevant, responsible, and trustworthy searchers. - Xiang Shi; Jiawei Liu 002; Yinpeng Liu; Qikai Cheng; Wei Lu 019 (Decis. Support Syst., 2025)

Are large language models qualified reviewers in originality evaluation? - Shengzhi Huang; Yong Huang 008; Yinpeng Liu; Zhuoran Luo; Wei Lu 019 (Inf. Process. Manag., 2025)

Modality Equilibrium Matters: Minor-Modality-Aware Adaptive Alternating for Cross-Modal Memory Enhancement. - Xiang Shi; Rui Zhang; Jiawei Liu 002; Yinpeng Liu; Qikai Cheng; Wei Lu 019 (CoRR, 2025)