Zhengbao Jiang

52 papers A* 8A 1B 1Journal 31Unranked 10

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