Jianmo Ni

According to our database, Jianmo Ni authored at least 45 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

How to Train Data-Efficient LLMs.

Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng

CoRR, 2024

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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval.

Nandan Thakur, Jianmo Ni, Gustavo Hernández Ábrego, John Wieting, Jimmy Lin, Daniel Cer

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

HYRR: Hybrid Infused Reranking for Passage Retrieval.

Jing Lu, Keith B. Hall, Ji Ma, Jianmo Ni

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Scaling Up Models and Data with t5x and seqio.

Adam Roberts, Hyung Won Chung, Gaurav Mishra, Anselm Levskaya, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Kehang Han, Michelle Casbon, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo

J. Mach. Learn. Res., 2023

Farzi Data: Autoregressive Data Distillation.

Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley

CoRR, 2023

Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction.

Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng

CoRR, 2023

WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset.

Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo

CoRR, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RISE: Leveraging Retrieval Techniques for Summarization Evaluation.

David C. Uthus, Jianmo Ni

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster

CoRR, 2022

Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts.

Cícero Nogueira dos Santos, Zhe Dong, Daniel Cer, John Nham, Siamak Shakeri, Jianmo Ni, Yun-Hsuan Sung

CoRR, 2022

Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation.

Li Zhang, Yan Ge, Jun Ma, Jianmo Ni, Haiping Lu

CoRR, 2022

Scaling Up Models and Data with t5x and seqio.

Adam Roberts, Hyung Won Chung, Anselm Levskaya, Gaurav Mishra, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo

CoRR, 2022

Transformer Memory as a Differentiable Search Index.

Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LongT5: Efficient Text-To-Text Transformer for Long Sequences.

Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Large Dual Encoders Are Generalizable Retrievers.

Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Ábrego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SHARE: a System for Hierarchical Assistive Recipe Editing.

Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Exploring Dual Encoder Architectures for Question Answering.

Zhe Dong, Jianmo Ni, Dan Bikel, Enrique Alfonseca, Yuan Wang, Chen Qu, Imed Zitouni

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models.

Jianmo Ni, Gustavo Hernández Ábrego, Noah Constant, Ji Ma, Keith B. Hall, Daniel Cer, Yinfei Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval.

Jing Lu, Gustavo Hernández Ábrego, Ji Ma, Jianmo Ni, Yinfei Yang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Personalized and Explainable Models of Text and Sequences.

Jianmo Ni

PhD thesis, 2020

Neural Passage Retrieval with Improved Negative Contrast.

Jing Lu, Gustavo Hernández Ábrego, Ji Ma, Jianmo Ni, Yinfei Yang

CoRR, 2020

Interview: A Large-Scale Open-Source Corpus of Media Dialog.

Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley

CoRR, 2020

Addressing Marketing Bias in Product Recommendations.

Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays.

Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding.

Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation.

Jianmo Ni, Larry Muhlstein, Julian J. McAuley

Proceedings of the World Wide Web Conference, 2019

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

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation.

Liliang Ren, Jianmo Ni, Julian J. McAuley

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects.

Jianmo Ni, Jiacheng Li, Julian J. McAuley

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generating Personalized Recipes from Historical User Preferences.

Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering.

Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley

CoRR, 2018

Security-Aware Task Scheduling Using Untrusted Components in High-Level Synthesis.

Nan Wang, Song Chen, Jianmo Ni, Xiaofeng Ling, Yu Zhu

IEEE Access, 2018

Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations.

Jianmo Ni, Julian J. McAuley

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Interconnection Allocation Between Functional Units and Registers in High-Level Synthesis.

Cong Hao, Jianmo Ni, Nan Wang, Takeshi Yoshimura

IEEE Trans. Very Large Scale Integr. Syst., 2017

Estimating Reactions and Recommending Products with Generative Models of Reviews.

Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016

Analysis and Optimization of Droop Controller for Microgrid System Based on Small-Signal Dynamic Model.

Kai Yu, Qian Ai, Shiyi Wang, Jianmo Ni, Tianguang Lv

IEEE Trans. Smart Grid, 2016

2015

Tabu search based multiple voltage scheduling under both timing and resource constraints.

Jianmo Ni, Nan Wang, Takeshi Yoshimura

Proceedings of the Sixteenth International Symposium on Quality Electronic Design, 2015

Primal-dual method based simultaneous functional unit and register binding.

Jianmo Ni, Cong Hao, Nan Wang, Qian Ai, Takeshi Yoshimura

Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

Simultaneous scheduling and binding for resource usage and interconnect complexity reduction in high-level synthesis.

Cong Hao, Jianmo Ni, Hui-Tong Wang, Takeshi Yoshimura

Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015