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2020 – today
- 2024
[j1]Shuaiqi Liu
, Jiannong Cao, Zhongfen Deng, Wenting Zhao, Ruosong Yang, Zhiyuan Wen, Philip S. Yu:
Neural Abstractive Summarization for Long Text and Multiple Tables. IEEE Trans. Knowl. Data Eng. 36(6): 2572-2586 (2024)- [c11]Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin:
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. EMNLP 2024: 5081-5099 - [c10]Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu:
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. NAACL-HLT 2024: 326-337 - [c9]Wenting Zhao, Zhongfen Deng, Shweta Yadav, Philip S. Yu:
Heterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language Model. WWW (Companion Volume) 2024: 1590-1594 - [i10]Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin:
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR abs/2406.16253 (2024) - 2023
- [c8]Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu:
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. IEEE Big Data 2023: 636-645 - [c7]Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu:
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. IEEE Big Data 2023: 1087-1094 - [c6]Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu:
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. IJCNLP (Findings) 2023: 1-12 - [c5]Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng, Philip S. Yu:
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach. IJCNLP (Findings) 2023: 13-19 - [i9]Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng, Philip S. Yu:
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach. CoRR abs/2309.11027 (2023) - [i8]Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu:
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. CoRR abs/2309.11049 (2023) - [i7]Zhongfen Deng, Wei-Te Chen, Lei Chen, Philip S. Yu:
AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction. CoRR abs/2310.07137 (2023) - [i6]Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu:
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. CoRR abs/2311.04196 (2023) - [i5]Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu:
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. CoRR abs/2311.04292 (2023) - [i4]Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu:
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. CoRR abs/2312.10771 (2023) - 2022
- [c4]Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi:
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? LOUHI@EMNLP 2022: 26-34 - [c3]Zhongfen Deng, Wei-Te Chen, Lei Chen, Philip S. Yu:
AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction. IEEE Big Data 2022: 1816-1821 - [i3]Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi:
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes? CoRR abs/2210.15882 (2022) - 2021
- [c2]Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu:
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. NAACL-HLT 2021: 3259-3265 - [i2]Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu:
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. CoRR abs/2104.05220 (2021) - 2020
- [c1]Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu:
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. COLING 2020: 6302-6314 - [i1]Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu:
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. CoRR abs/2011.00802 (2020)
Coauthor Index
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