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Weihua Peng
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2020 – today
- 2024
- [c16]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. ACL (1) 2024: 1173-1203 - [c15]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. ACL (Findings) 2024: 14095-14113 - [i11]Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin:
Learning Fine-Grained Grounded Citations for Attributed Large Language Models. CoRR abs/2408.04568 (2024) - 2023
- [j6]Weihua Peng, Renyong Hou:
The Evolution Game of Network Platform Employment Governance. Complex. 2023: 7516801:1-7516801:10 (2023) - [i10]Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu:
A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. CoRR abs/2309.15402 (2023) - [i9]Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu:
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. CoRR abs/2311.05232 (2023) - [i8]Zhangyin Feng, Weitao Ma, Weijiang Yu, Lei Huang, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu:
Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications. CoRR abs/2311.05876 (2023) - 2022
- [j5]Jing Chen, Baotian Hu, Weihua Peng, Qingcai Chen, Buzhou Tang:
Biomedical relation extraction via knowledge-enhanced reading comprehension. BMC Bioinform. 23(1): 20 (2022) - [j4]Ying Xiong, Weihua Peng, Qingcai Chen, Zhengxing Huang, Buzhou Tang:
A Unified Machine Reading Comprehension Framework for Cohort Selection. IEEE J. Biomed. Health Informatics 26(1): 379-387 (2022) - [c14]Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng:
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. ACL (2) 2022: 290-296 - [c13]Jianguo Mao, Jiyuan Zhang, Zengfeng Zeng, Weihua Peng, Wenbin Jiang, Xiangdong Wang, Hong Liu, Yajuan Lyu:
Hierarchical Representation-based Dynamic Reasoning Network for Biomedical Question Answering. COLING 2022: 1480-1489 - [c12]Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng:
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. EMNLP (Findings) 2022: 7328-7338 - [c11]Jingcong Tao, Youcheng Pan, Xinyu Li, Baotian Hu, Weihua Peng, Cuiyun Han, Xiaolong Wang:
Multi-Role Event Argument Extraction as Machine Reading Comprehension with Argument Match Optimization. ICASSP 2022: 6347-6351 - [c10]Cuiyun Han, Jinchuan Zhang, Xinyu Li, Guojin Xu, Weihua Peng, Zengfeng Zeng:
DuEE-Fin: A Large-Scale Dataset for Document-Level Event Extraction. NLPCC (1) 2022: 172-183 - [i7]Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng:
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. CoRR abs/2203.07782 (2022) - [i6]Damai Dai, Wenbin Jiang, Jiyuan Zhang, Weihua Peng, Yajuan Lyu, Zhifang Sui, Baobao Chang, Yong Zhu:
Mixture of Experts for Biomedical Question Answering. CoRR abs/2204.07469 (2022) - [i5]Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng:
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. CoRR abs/2210.09708 (2022) - 2021
- [j3]Tiantian Zhu, Yang Qin, Yang Xiang, Baotian Hu, Qingcai Chen, Weihua Peng:
Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning. J. Am. Medical Informatics Assoc. 28(12): 2571-2581 (2021) - [j2]Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu, Yang Xiang:
Neural data-to-text generation with dynamic content planning. Knowl. Based Syst. 215: 106610 (2021) - [j1]Dongfang Li, Ying Xiong, Baotian Hu, Buzhou Tang, Weihua Peng, Qingcai Chen:
Drug knowledge discovery via multi-task learning and pre-trained models. BMC Medical Informatics Decis. Mak. 21-S(9): 251 (2021) - [c9]Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen:
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. ACL/IJCNLP (Findings) 2021: 2162-2172 - [c8]Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen:
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. ACL/IJCNLP (1) 2021: 3558-3571 - [c7]Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen, Weihua Peng:
Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks. ACL/IJCNLP (1) 2021: 4862-4872 - [c6]Xin Liu, Qingcai Chen, Junying Chen, Wenxiu Zhou, Tingyu Liu, Xinlan Yang, Weihua Peng:
Leveraging Capsule Routing to Associate Knowledge with Medical Literature Hierarchically. EMNLP (1) 2021: 3518-3532 - [i4]Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen:
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. CoRR abs/2106.01649 (2021) - [i3]Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen:
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. CoRR abs/2106.01654 (2021) - 2020
- [c5]Tao Li, Weihua Peng, Qingcai Chen, Xiaolong Wang, Buzhou Tang:
KEoG: A knowledge-aware edge-oriented graph neural network for document-level relation extraction. BIBM 2020: 1740-1747 - [c4]Youcheng Pan, Qingcai Chen, Weihua Peng, Xiaolong Wang, Baotian Hu, Xin Liu, Junying Chen, Wenxiu Zhou:
MedWriter: Knowledge-Aware Medical Text Generation. COLING 2020: 2363-2368 - [c3]Fayuan Li, Weihua Peng, Yuguang Chen, Quan Wang, Lu Pan, Yajuan Lyu, Yong Zhu:
Event Extraction as Multi-turn Question Answering. EMNLP (Findings) 2020: 829-838 - [c2]Dongfang Li, Baotian Hu, Qingcai Chen, Weihua Peng, Anqi Wang:
Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text. EMNLP (1) 2020: 1427-1438 - [c1]Xinyu Li, Fayuan Li, Lu Pan, Yuguang Chen, Weihua Peng, Quan Wang, Yajuan Lyu, Yong Zhu:
DuEE: A Large-Scale Dataset for Chinese Event Extraction in Real-World Scenarios. NLPCC (2) 2020: 534-545 - [i2]Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu:
Neural Data-to-Text Generation with Dynamic Content Planning. CoRR abs/2004.07426 (2020) - [i1]Junheng Huang, Lu Pan, Kang Xu, Weihua Peng, Fayuan Li:
Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks. CoRR abs/2005.04396 (2020)
Coauthor Index
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