Ji Ma
I was born in the northeastern part of China where I could enjoy heavy snows in winter.
I completed my B.Sc. at Jiangsu University, where heavy snow rarely happens.
After that, I went back to north again to pursue the snow together with my PhD. In 2015, I graduated from Northeastern University, where I worked with Jingbo Zhu and Tong Xiao. Since then, I have been working at Google. My research mainly focuses on natural language processing and information retrieval related tasks.
Authored Publications
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Google
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses
Jianmo Ni
Mike Bendersky
Proc. of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (2023)
Learning List-Level Domain-Invariant Representations for Ranking
Ruicheng Xian
Hamed Zamani
Han Zhao
Michael Bendersky
37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Large Dual Encoders Are Generalizable Retrievers
Jianmo Ni
Zhuyun Dai
Vincent Zhao
Yi Luan
Keith B. Hall
Ming-Wei Chang
Yinfei Yang
(2022)
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference
Tao Chen
Cicero Nogueira dos Santos
Yi Tay
ACL: Findings 2022 (2022)
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Pat Verga
Jianmo Ni
arXiv (2022)
QAmeleon: Multilingual QA with Only 5 Examples
Fantine Huot
Sebastian Ruder
Mirella Lapata
Arxiv (2022)
Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation
Ivan Korotkov
Yinfei Yang
Keith B. Hall
Ryan Thomas Mcdonald
Association for Computational Linguistics, Online, pp. 1075-1088
Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval
Jianmo Ni
Yinfei Yang
EMNLP 2021, Association for Computational Linguistics (2021), pp. 6091-6103
