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Zhengbao Jiang
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
P Liu, W Yuan, J Fu, Z Jiang, H Hayashi, G Neubig
arXiv preprint arXiv:2107.13586, 2021
3322021
How can we know what language models know?
Z Jiang, FF Xu, J Araki, G Neubig
Transactions of the Association for Computational Linguistics 8, 423-438, 2020
3122020
Gsum: A general framework for guided neural abstractive summarization
ZY Dou, P Liu, H Hayashi, Z Jiang, G Neubig
arXiv preprint arXiv:2010.08014, 2020
792020
X-FACTR: Multilingual factual knowledge retrieval from pretrained language models
Z Jiang, A Anastasopoulos, J Araki, H Ding, G Neubig
arXiv preprint arXiv:2010.06189, 2020
422020
Incorporating external knowledge through pre-training for natural language to code generation
FF Xu, Z Jiang, P Yin, B Vasilescu, G Neubig
arXiv preprint arXiv:2004.09015, 2020
392020
Automatically mining facets for queries from their search results
Z Dou, Z Jiang, S Hu, JR Wen, R Song
IEEE Transactions on knowledge and data engineering 28 (2), 385-397, 2015
392015
Personalizing search results using hierarchical RNN with query-aware attention
S Ge, Z Dou, Z Jiang, JY Nie, JR Wen
Proceedings of the 27th ACM International Conference on Information and …, 2018
332018
Graph-revised convolutional network
D Yu, R Zhang, Z Jiang, Y Wu, Y Yang
Joint European conference on machine learning and knowledge discovery in …, 2020
322020
Generalizing natural language analysis through span-relation representations
Z Jiang, W Xu, J Araki, G Neubig
arXiv preprint arXiv:1911.03822, 2019
322019
Learning to diversify search results via subtopic attention
Z Jiang, JR Wen, Z Dou, WX Zhao, JY Nie, M Yue
Proceedings of the 40th international ACM SIGIR Conference on Research and …, 2017
312017
How can we know when language models know? on the calibration of language models for question answering
Z Jiang, J Araki, H Ding, G Neubig
Transactions of the Association for Computational Linguistics 9, 962-977, 2021
262021
Generating query facets using knowledge bases
Z Jiang, Z Dou, JR Wen
IEEE transactions on knowledge and data engineering 29 (2), 315-329, 2016
172016
Supervised search result diversification via subtopic attention
Z Jiang, Z Dou, WX Zhao, JY Nie, M Yue, JR Wen
IEEE Transactions on Knowledge and Data Engineering 30 (10), 1971-1984, 2018
122018
Improving open information extraction via iterative rank-aware learning
Z Jiang, P Yin, G Neubig
arXiv preprint arXiv:1905.13413, 2019
82019
Learning Relation Entailment with Structured and Textual Information
Z Jiang, J Araki, D Yu, R Zhang, W Xu, Y Yang, G Neubig
Automated Knowledge Base Construction, 2020
32020
Multilingual factual knowledge retrieval from pretrained language models
Z Jiang, A Anastasopoulos, J Araki, H Ding, G Neubig
arXiv preprint arXiv:2010.06189, 2020
22020
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction
Z Jiang, J Han, B Sisman, XL Dong
arXiv preprint arXiv:2106.00793, 2021
12021
DocCoder: Generating Code by Retrieving and Reading Docs
S Zhou, U Alon, FF Xu, Z JIang, G Neubig
arXiv preprint arXiv:2207.05987, 2022
2022
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering
Z Jiang, Y Mao, P He, G Neubig, W Chen
arXiv preprint arXiv:2207.03637, 2022
2022
Table Retrieval May Not Necessitate Table-specific Model Design
Z Wang, Z Jiang, E Nyberg, G Neubig
arXiv preprint arXiv:2205.09843, 2022
2022
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