Key Mention Pairs Guided Document-Level Relation Extraction. - Feng Jiang; Jianwei Niu 002; Shasha Mo; Shengda Fan (COLING, 2022)

CETA: A Consensus Enhanced Training Approach for Denoising in Distantly Supervised Relation Extraction. - Ruri Liu; Shasha Mo; Jianwei Niu 002; Shengda Fan (COLING, 2022)

Boosting Document-Level Relation Extraction by Mining and Injecting Logical Rules. - Shengda Fan; Shasha Mo; Jianwei Niu 002 (EMNLP, 2022)

LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations. - Shengda Fan; Yanting Wang; Shasha Mo; Jianwei Niu 002 (EMNLP, 2024)

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models. - Shengda Fan; Xin Cong; Yuepeng Fu; Zhong Zhang; Shuyan Zhang; Yuanwei Liu; Yesai Wu; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ICLR, 2025)

MiniCPM4: Ultra-Efficient LLMs on End Devices. - Chaojun Xiao; Yuxuan Li; Xu Han 007; Yuzhuo Bai; Jie Cai; Haotian Chen; Wentong Chen; Xin Cong; Ganqu Cui; Ning Ding 002; Shengda Fan; Yewei Fang; et al. (CoRR, 2025)