Ye Liu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 22

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Question Answer

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Publications

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 (2023)
Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Philip S. Yu
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning. SIGDIAL (2023)
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 (2023)
Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Philip S. Yu
Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning. CoRR (2023)
Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. ConvAI@ACL (2022)
Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Ye Liu, Caiming Xiong, Philip S. Yu
Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. CoRR (2021)
Ye Liu, Jianguo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. EMNLP (1) (2021)
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. AAAI (2021)
Ye Liu, Yao Wan, Jianguo Zhang, Wenting Zhao, Philip S. Yu
Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation. CoRR (2021)
Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. CoRR (2021)
Ye Liu, Yao Wan, Jianguo Zhang, Wenting Zhao, Philip S. Yu
Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation. EACL (2021)
Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering. CoRR (2020)
Ye Liu, Tao Yang, Zeyu You, Wei Fan, Philip S. Yu
Commonsense Evidence Generation and Injection in Reading Comprehension. CoRR (2020)
Ye Liu, Tao Yang, Zeyu You, Wei Fan, Philip S. Yu
Commonsense Evidence Generation and Injection in Reading Comprehension. SIGdial (2020)
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. CoRR (2020)
Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CIKM (2019)
Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CoRR (2019)
Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. CoRR (2018)
Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu
Product Title Refinement via Multi-Modal Generative Adversarial Learning. CoRR (2018)
Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. AAAI (2018)
Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu
Data-driven Blockbuster Planning on Online Movie Knowledge Library. IEEE BigData (2018)
Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu
Data-driven Blockbuster Planning on Online Movie Knowledge Library. CoRR (2018)