Weihua Peng

According to our database, Weihua Peng authored at least 26 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu

CoRR, 2023

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu

CoRR, 2023

A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.

Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu

CoRR, 2023

The Evolution Game of Network Platform Employment Governance.

Weihua Peng, Renyong Hou

Complex., 2023

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

Mixture of Experts for Biomedical Question Answering.

Damai Dai, Wenbin Jiang, Jiyuan Zhang, Weihua Peng, Yajuan Lyu, Zhifang Sui, Baobao Chang, Yong Zhu

CoRR, 2022

Biomedical relation extraction via knowledge-enhanced reading comprehension.

Jing Chen, Baotian Hu, Weihua Peng, Qingcai Chen, Buzhou Tang

BMC Bioinform., 2022

DuEE-Fin: A Large-Scale Dataset for Document-Level Event Extraction.

Cuiyun Han, Jinchuan Zhang, Xinyu Li, Guojin Xu, Weihua Peng, Zengfeng Zeng

Proceedings of the Natural Language Processing and Chinese Computing, 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

Proceedings of the IEEE International Conference on Acoustics, 2022

HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning.

Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Hierarchical Representation-based Dynamic Reasoning Network for Biomedical Question Answering.

Jianguo Mao, Jiyuan Zhang, Zengfeng Zeng, Weihua Peng, Wenbin Jiang, Xiangdong Wang, Hong Liu, Yajuan Lyu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning.

Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Drug knowledge discovery via multi-task learning and pre-trained models.

Dongfang Li, Ying Xiong, Baotian Hu, Buzhou Tang, Weihua Peng, Qingcai Chen

BMC Medical Informatics Decis. Mak., 2021

Neural data-to-text generation with dynamic content planning.

Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu, Yang Xiang

Knowl. Based Syst., 2021

Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning.

Tiantian Zhu, Yang Qin, Yang Xiang, Baotian Hu, Qingcai Chen, Weihua Peng

J. Am. Medical Informatics Assoc., 2021

Leveraging Capsule Routing to Associate Knowledge with Medical Literature Hierarchically.

Xin Liu, Qingcai Chen, Junying Chen, Wenxiu Zhou, Tingyu Liu, Xinlan Yang, Weihua Peng

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement.

Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification.

Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks.

Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen, Weihua Peng

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks.

Junheng Huang, Lu Pan, Kang Xu, Weihua Peng, Fayuan Li

CoRR, 2020

Neural Data-to-Text Generation with Dynamic Content Planning.

Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu

CoRR, 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, Yajuan Lyu, Yong Zhu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Event Extraction as Multi-turn Question Answering.

Fayuan Li, Weihua Peng, Yuguang Chen, Quan Wang, Lu Pan, Yajuan Lyu, Yong Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text.

Dongfang Li, Baotian Hu, Qingcai Chen, Weihua Peng, Anqi Wang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

MedWriter: Knowledge-Aware Medical Text Generation.

Youcheng Pan, Qingcai Chen, Weihua Peng, Xiaolong Wang, Baotian Hu, Xin Liu, Junying Chen, Wenxiu Zhou

Proceedings of the 28th International Conference on Computational Linguistics, 2020

KEoG: A knowledge-aware edge-oriented graph neural network for document-level relation extraction.

Tao Li, Weihua Peng, Qingcai Chen, Xiaolong Wang, Buzhou Tang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020