An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension. - Jiaqi Li 004; Ming Liu 004; Bing Qin 001; Zihao Zheng; Ting Liu 001 (CoRR, 2019)

Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. - Jiaqi Li 004; Ming Liu 004; Min-Yen Kan; Zihao Zheng; Zekun Wang 001; Wenqiang Lei; Ting Liu 001; Bing Qin 001 (COLING, 2020)

DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. - Jiaqi Li 004; Ming Liu 004; Zihao Zheng; Heng Zhang; Bing Qin 001; Min-Yen Kan; Ting Liu 001 (IJCNN, 2021)

A survey of discourse parsing. - Jiaqi Li 004; Ming Liu 004; Bing Qin 001; Ting Liu 001 (Frontiers Comput. Sci., 2022)

A speaker-aware multiparty dialogue discourse parser with heterogeneous graph neural network. - Jiaqi Li 004; Ming Liu 004; Yuxin Wang 002; Daxing Zhang; Bing Qin 001 (Cogn. Syst. Res., 2023)

SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model. - Dayong Wu; Jiaqi Li 004; Baoxin Wang; Honghong Zhao; Siyuan Xue; Yanjie Yang; Zhijun Chang; Rui Zhang; Li Qian; Bo Wang; Shijin Wang 001; Zhixiong Zhang; et al. (CoRR, 2024)

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering. - Runxuan Liu; Luobei Luobei; Jiaqi Li 004; Baoxin Wang; Ming Liu 007; Dayong Wu; Shijin Wang 001; Bing Qin 001 (ACL (1), 2025)

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering. - Runxuan Liu; Bei Luo; Jiaqi Li 004; Baoxin Wang; Ming Liu 004; Dayong Wu; Shijin Wang 001; Bing Qin 001 (CoRR, 2025)

NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM. - Jiayin Lan; Jiaqi Li 004; Baoxin Wang; Ming Liu 004; Dayong Wu; Shijin Wang 001; Bing Qin 001 (CoRR, 2025)