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OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering


Jul 08, 2022
Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen

* NAACL 2022 

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Table Retrieval May Not Necessitate Table-specific Model Design


May 19, 2022
Zhiruo Wang, Zhengbao Jiang, Eric Nyberg, Graham Neubig

* 11 pages total, 4 figures 

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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing


Jul 28, 2021
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig

* Website: http://pretrain.nlpedia.ai/ 

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CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction


Jun 01, 2021
Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong

* ACL 2021 

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How Can We Know When Language Models Know?


Dec 02, 2020
Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig


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X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models


Oct 27, 2020
Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig

* EMNLP 2020 

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GSum: A General Framework for Guided Neural Abstractive Summarization


Oct 15, 2020
Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig


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Multilingual Factual Knowledge Retrieval from Pretrained Language Models


Oct 13, 2020
Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig

* EMNLP 2020 

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Incorporating External Knowledge through Pre-training for Natural Language to Code Generation


Apr 20, 2020
Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig

* Accepted by ACL 2020 

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