Zhengbao Jiang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 51

Top Topics

Convolutional Network

External Knowledge

Question Answering

Top Venues

Publications

Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu
GPTScore: Evaluate as You Desire. NAACL-HLT (2024)
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer
Instruction-tuned Language Models are Better Knowledge Learners. ACL (1) (2024)
Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin
Beyond Memorization: The Challenge of Random Memory Access in Language Models. ACL (1) (2024)
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer
Instruction-tuned Language Models are Better Knowledge Learners. CoRR (2024)
Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin
Beyond Memorization: The Challenge of Random Memory Access in Language Models. CoRR (2024)
Zhiruo Wang, Jun Araki, Zhengbao Jiang, Md. Rizwan Parvez, Graham Neubig
Learning to Filter Context for Retrieval-Augmented Generation. CoRR (2023)
Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig
Active Retrieval Augmented Generation. EMNLP (2023)
Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu
GPTScore: Evaluate as You Desire. CoRR (2023)
Qian Liu, Fan Zhou, Zhengbao Jiang, Longxu Dou, Min Lin
From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning. CoRR (2023)
Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig
Active Retrieval Augmented Generation. CoRR (2023)
Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig
DocPrompting: Generating Code by Retrieving the Docs. ICLR (2023)
Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
PEER: A Collaborative Language Model. ICLR (2023)
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. ACM Comput. Surv. 55 (9) (2023)
Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. CoRR (2022)
Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. NAACL-HLT (2022)
Zhengbao Jiang, Luyu Gao, Jun Araki, Haibo Ding, Zhiruo Wang, Jamie Callan, Graham Neubig
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. CoRR (2022)
Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi
SPE: Symmetrical Prompt Enhancement for Fact Probing. CoRR (2022)
Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, Graham Neubig
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. EMNLP (2022)
Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni
EditEval: An Instruction-Based Benchmark for Text Improvements. CoRR (2022)
Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
PEER: A Collaborative Language Model. CoRR (2022)
Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi
SPE: Symmetrical Prompt Enhancement for Fact Probing. EMNLP (2022)
Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. COLING (2022)
Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig
DocCoder: Generating Code by Retrieving and Reading Docs. CoRR (2022)
Zhiruo Wang, Zhengbao Jiang, Eric Nyberg, Graham Neubig
Table Retrieval May Not Necessitate Table-specific Model Design. CoRR (2022)
Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. CoRR (2022)
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. CoRR (2021)
Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction. ACL/IJCNLP (1) (2021)
Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig
Language Models Know? On the Calibration of Language Models for Question Answering. Trans. Assoc. Comput. Linguistics 9 (2021)
Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig
GSum: A General Framework for Guided Neural Abstractive Summarization. NAACL-HLT (2021)
Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction. CoRR (2021)
Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. ACL (2020)
Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig
How Can We Know When Language Models Know? CoRR (2020)
Zhengbao Jiang, Wei Xu, Jun Araki, Graham Neubig
Generalizing Natural Language Analysis through Span-relation Representations. ACL (2020)
Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models. CoRR (2020)
Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models. EMNLP (1) (2020)
Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
Graph-Revised Convolutional Network. ECML/PKDD (3) (2020)
Zhengbao Jiang, Frank F. Xu, Jun Araki, Graham Neubig
How Can We Know What Language Models Know. Trans. Assoc. Comput. Linguistics 8 (2020)
Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig
GSum: A General Framework for Guided Neural Abstractive Summarization. CoRR (2020)
Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. CoRR (2020)
Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig
Learning Relation Entailment with Structured and Textual Information. AKBC (2020)
Zhengbao Jiang, Pengcheng Yin, Graham Neubig
Improving Open Information Extraction via Iterative Rank-Aware Learning. ACL (1) (2019)
Zhengbao Jiang, Pengcheng Yin, Graham Neubig
Improving Open Information Extraction via Iterative Rank-Aware Learning. CoRR (2019)
Zhengbao Jiang, Frank F. Xu, Jun Araki, Graham Neubig
How Can We Know What Language Models Know? CoRR (2019)
Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
Graph-Revised Convolutional Network. CoRR (2019)
Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. CoRR (2019)
Zhengbao Jiang, Wei Xu, Jun Araki, Graham Neubig
Generalizing Natural Language Analysis through Span-relation Representations. CoRR (2019)
Zhengbao Jiang, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue, Ji-Rong Wen
Supervised Search Result Diversification via Subtopic Attention. IEEE Trans. Knowl. Data Eng. 30 (10) (2018)
Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. CIKM (2018)
Zhengbao Jiang, Zhicheng Dou, Ji-Rong Wen
Generating Query Facets Using Knowledge Bases. IEEE Trans. Knowl. Data Eng. 29 (2) (2017)
Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue
Learning to Diversify Search Results via Subtopic Attention. SIGIR (2017)
Zhicheng Dou, Zhengbao Jiang, Sha Hu, Ji-Rong Wen, Ruihua Song
Automatically Mining Facets for Queries from Their Search Results. IEEE Trans. Knowl. Data Eng. 28 (2) (2016)