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
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
37th Conference on Neural Information Processing Systems (NeurIPS 2023)
QAmeleon: Multilingual QA with Only 5 Examples
Fantine Huot
Sebastian Ruder
Mirella Lapata
Arxiv (2022)
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Pat Verga
Jianmo Ni
arXiv (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)
Large Dual Encoders Are Generalizable Retrievers
Jianmo Ni
Zhuyun Dai
Vincent Zhao
Yi Luan
Keith B. Hall
Ming-Wei Chang
Yinfei Yang
(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
