KEoG: A knowledge-aware edge-oriented graph neural network for document-level relation extraction. - Tao Li; Weihua Peng; Qingcai Chen; Xiaolong Wang 001; Buzhou Tang (BIBM, 2020)

MedWriter: Knowledge-Aware Medical Text Generation. - Youcheng Pan; Qingcai Chen; Weihua Peng; Xiaolong Wang 001; Baotian Hu; Xin Liu 054; Junying Chen; Wenxiu Zhou (COLING, 2020)

Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text. - Dongfang Li 002; Baotian Hu; Qingcai Chen; Weihua Peng; Anqi Wang (EMNLP (1), 2020)

Event Extraction as Multi-turn Question Answering. - Fayuan Li; Weihua Peng; Yuguang Chen; Quan Wang 002; Lu Pan; Yajuan Lyu; Yong Zhu 004 (EMNLP (Findings), 2020)

DuEE: A Large-Scale Dataset for Chinese Event Extraction in Real-World Scenarios. - Xinyu Li; Fayuan Li; Lu Pan; Yuguang Chen; Weihua Peng; Quan Wang 002; Yajuan Lyu; Yong Zhu 004 (NLPCC (2), 2020)

Neural Data-to-Text Generation with Dynamic Content Planning. - Kai Chen; Fayuan Li; Baotian Hu; Weihua Peng; Qingcai Chen; Hong Yu 001 (CoRR, 2020)

Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks. - Junheng Huang; Lu Pan; Kang Xu 001; Weihua Peng; Fayuan Li (CoRR, 2020)

Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks. - Pengfei Cao; Xinyu Zuo; Yubo Chen 001; Kang Liu 001; Jun Zhao 001; Yuguang Chen; Weihua Peng (ACL/IJCNLP (1), 2021)

LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. - Xinyu Zuo; Pengfei Cao; Yubo Chen 001; Kang Liu 001; Jun Zhao 001; Weihua Peng; Yuguang Chen (ACL/IJCNLP (1), 2021)

Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. - Xinyu Zuo; Pengfei Cao; Yubo Chen 001; Kang Liu 001; Jun Zhao 001; Weihua Peng; Yuguang Chen (ACL/IJCNLP (Findings), 2021)

Leveraging Capsule Routing to Associate Knowledge with Medical Literature Hierarchically. - Xin Liu 054; Qingcai Chen; Junying Chen; Wenxiu Zhou; Tingyu Liu; Xinlan Yang; Weihua Peng (EMNLP (1), 2021)

Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning. - Tiantian Zhu; Yang Qin 001; Yang Xiang 003; Baotian Hu; Qingcai Chen; Weihua Peng (J. Am. Medical Informatics Assoc., 2021)

Neural data-to-text generation with dynamic content planning. - Kai Chen; Fayuan Li; Baotian Hu; Weihua Peng; Qingcai Chen; Hong Yu 001; Yang Xiang 003 (Knowl. Based Syst., 2021)

Drug knowledge discovery via multi-task learning and pre-trained models. - Dongfang Li 002; Ying Xiong; Baotian Hu; Buzhou Tang; Weihua Peng; Qingcai Chen (BMC Medical Informatics Decis. Mak., 2021)

Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. - Zixuan Li 001; Saiping Guan; Xiaolong Jin 001; Weihua Peng; Yajuan Lyu; Yong Zhu 004; Long Bai 002; Wei Li 176; Jiafeng Guo; Xueqi Cheng (ACL (2), 2022)

Hierarchical Representation-based Dynamic Reasoning Network for Biomedical Question Answering. - Jianguo Mao; Jiyuan Zhang; Zengfeng Zeng; Weihua Peng; Wenbin Jiang 002; Xiangdong Wang; Hong Liu 007; Yajuan Lyu (COLING, 2022)

HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. - Zixuan Li 001; Zhongni Hou; Saiping Guan; Xiaolong Jin 001; Weihua Peng; Long Bai 002; Yajuan Lyu; Wei Li 176; Jiafeng Guo; Xueqi Cheng (EMNLP (Findings), 2022)

Multi-Role Event Argument Extraction as Machine Reading Comprehension with Argument Match Optimization. - Jingcong Tao; Youcheng Pan; Xinyu Li; Baotian Hu; Weihua Peng; Cuiyun Han; Xiaolong Wang 001 (ICASSP, 2022)

DuEE-Fin: A Large-Scale Dataset for Document-Level Event Extraction. - Cuiyun Han; Jinchuan Zhang; Xinyu Li; Guojin Xu; Weihua Peng; Zengfeng Zeng (NLPCC (1), 2022)

Biomedical relation extraction via knowledge-enhanced reading comprehension. - Jing Chen; Baotian Hu; Weihua Peng; Qingcai Chen; Buzhou Tang (BMC Bioinform., 2022)

Mixture of Experts for Biomedical Question Answering. - Damai Dai; Wenbin Jiang 002; Jiyuan Zhang; Weihua Peng; Yajuan Lyu; Zhifang Sui; Baobao Chang; Yong Zhu 004 (CoRR, 2022)

A Unified Machine Reading Comprehension Framework for Cohort Selection. - Ying Xiong; Weihua Peng; Qingcai Chen; Zhengxing Huang; Buzhou Tang (IEEE J. Biomed. Health Informatics, 2022)

The Evolution Game of Network Platform Employment Governance. - Weihua Peng; Renyong Hou (Complex., 2023)

A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. - Zheng Chu; Jingchang Chen; Qianglong Chen; Weijiang Yu; Tao He; Haotian Wang 007; Weihua Peng; Ming Liu 004; Bing Qin 001; Ting Liu 001 (CoRR, 2023)

Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications. - Zhangyin Feng; Weitao Ma; Weijiang Yu; Lei Huang 021; Haotian Wang 007; Qianglong Chen; Weihua Peng; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (CoRR, 2023)

Learning Fine-Grained Grounded Citations for Attributed Large Language Models. - Lei Huang 021; Xiaocheng Feng; Weitao Ma; Yuxuan Gu; Weihong Zhong; Xiachong Feng; Weijiang Yu; Weihua Peng; Duyu Tang; Dandan Tu; Bing Qin 001 (ACL (Findings), 2024)

Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. - Zheng Chu; Jingchang Chen; Qianglong Chen; Weijiang Yu; Tao He; Haotian Wang 007; Weihua Peng; Ming Liu 004; Bing Qin 001; Ting Liu 001 (ACL (1), 2024)

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. - Lei Huang 021; Weijiang Yu; Weitao Ma; Weihong Zhong; Zhangyin Feng; Haotian Wang 007; Qianglong Chen; Weihua Peng; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (ACM Trans. Inf. Syst., 2025)