Zhengbao Jiang
Cited by
Cited by
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
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
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
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
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
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
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
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
Generalizing natural language analysis through span-relation representations
Z Jiang, W Xu, J Araki, G Neubig
arXiv preprint arXiv:1911.03822, 2019
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
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
Generating query facets using knowledge bases
Z Jiang, Z Dou, JR Wen
IEEE transactions on knowledge and data engineering 29 (2), 315-329, 2016
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
Improving open information extraction via iterative rank-aware learning
Z Jiang, P Yin, G Neubig
arXiv preprint arXiv:1905.13413, 2019
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
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
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
SPE: Symmetrical Prompt Enhancement for Fact Probing
Y Li, T Che, Y Wang, Z Jiang, C Xiong, S Chaturvedi
arXiv preprint arXiv:2211.07078, 2022
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering
Z Jiang, J Araki, H Ding, G Neubig
arXiv preprint arXiv:2210.04234, 2022
EditEval: An Instruction-Based Benchmark for Text Improvements
J Dwivedi-Yu, T Schick, Z Jiang, M Lomeli, P Lewis, G Izacard, E Grave, ...
arXiv preprint arXiv:2209.13331, 2022
The system can't perform the operation now. Try again later.
Articles 1–20