Jianmo Ni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
11
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. | Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng |
| 2024 | COLING | HYRR: Hybrid Infused Reranking for Passage Retrieval. | Jing Lu, Keith B. Hall, Ji Ma, Jianmo Ni |
| 2024 | NAACL | Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval. | Nandan Thakur, Jianmo Ni, Gustavo Hernndez brego, John Wieting, Jimmy Lin, Daniel Cer |
| 2024 | RecSys | Improving Data Efficiency for Recommenders and LLMs. | Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng |
| 2023 | ACL | RISE: Leveraging Retrieval Techniques for Summarization Evaluation. | David C. Uthus, Jianmo Ni |
| 2023 | EMNLP | A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. | Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo |
| 2023 | ICLR | Promptagator: Few-shot Dense Retrieval From 8 Examples. | Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang |
| 2023 | RecSys | Efficient Data Representation Learning in Google-scale Systems. | Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi |
| 2023 | SIGIR | RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. | Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky |
| 2022 | ACL | Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. | Jianmo Ni, Gustavo Hernndez brego, Noah Constant, Ji Ma, Keith B. Hall, Daniel Cer, Yinfei Yang |
| 2022 | EMNLP | Exploring Dual Encoder Architectures for Question Answering. | Zhe Dong, Jianmo Ni, Dan Bikel, Enrique Alfonseca, Yuan Wang, Chen Qu, Imed Zitouni |
| 2022 | EMNLP | SHARE: a System for Hierarchical Assistive Recipe Editing. | Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley |
| 2022 | EMNLP | Large Dual Encoders Are Generalizable Retrievers. | Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernndez brego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang |
| 2022 | ICLR | ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. | Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler |
| 2022 | NAACL | LongT5: Efficient Text-To-Text Transformer for Long Sequences. | Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontan, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang |
| 2021 | EMNLP | Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval. | Jing Lu, Gustavo Hernndez brego, Ji Ma, Jianmo Ni, Yinfei Yang |
| 2020 | EMNLP | Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding. | Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley |
| 2020 | EMNLP | Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. | Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley |
| 2020 | WSDM | Addressing Marketing Bias in Product Recommendations. | Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley |
| 2019 | EMNLP | Generating Personalized Recipes from Historical User Preferences. | Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley |
| 2019 | EMNLP | Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. | Jianmo Ni, Jiacheng Li, Julian J. McAuley |
| 2019 | EMNLP | Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation. | Liliang Ren, Jianmo Ni, Julian J. McAuley |
| 2019 | NAACL | Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. | Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley |
| 2019 | WWW | Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation. | Jianmo Ni, Larry Muhlstein, Julian J. McAuley |
| 2018 | ACL | Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations. | Jianmo Ni, Julian J. McAuley |
| 2017 | IJCNLP | Estimating Reactions and Recommending Products with Generative Models of Reviews. | Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley |