Zhengbao Jiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
7
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACL | Instruction-tuned Language Models are Better Knowledge Learners. | Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodrguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer |
| 2024 | ACL | Beyond Memorization: The Challenge of Random Memory Access in Language Models. | Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin |
| 2024 | NAACL | GPTScore: Evaluate as You Desire. | Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu |
| 2023 | EMNLP | Active Retrieval Augmented Generation. | Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig |
| 2023 | ICLR | PEER: A Collaborative Language Model. | Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel |
| 2023 | ICLR | DocPrompting: Generating Code by Retrieving the Docs. | Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig |
| 2022 | COLING | Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. | Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig |
| 2022 | EMNLP | Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. | Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, Graham Neubig |
| 2022 | EMNLP | SPE: Symmetrical Prompt Enhancement for Fact Probing. | Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi |
| 2022 | NAACL | OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. | Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen |
| 2021 | ACL | CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction. | Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong |
| 2021 | NAACL | GSum: A General Framework for Guided Neural Abstractive Summarization. | Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig |
| 2020 | ACL | Generalizing Natural Language Analysis through Span-relation Representations. | Zhengbao Jiang, Wei Xu, Jun Araki, Graham Neubig |
| 2020 | ACL | Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. | Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig |
| 2020 | EMNLP | X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models. | Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig |
| 2019 | ACL | Improving Open Information Extraction via Iterative Rank-Aware Learning. | Zhengbao Jiang, Pengcheng Yin, Graham Neubig |
| 2018 | CIKM | Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. | Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen |
| 2017 | SIGIR | Learning to Diversify Search Results via Subtopic Attention. | Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue |