Jianmo Ni - RankMe

67 papers A* 10A 3Journal 36Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EgoReasoner: Learning Egocentric 4D Reasoning via Task-Adaptive Structured Thinking. CoRR Fangrui Zhu, Yunfeng Xi, Jianmo Ni, Mu Cai, Boqing Gong, Long Zhao, Chen Qu, Ian Miao, Yi Li, Cheng Zhong, Huaizu Jiang, Shwetak Patel
2026	J	`jnl`	Reinforced Attention Learning. CoRR Bangzheng Li, Jianmo Ni, Chen Qu, Ian Miao, Liu Yang, Xingyu Fu, Muhao Chen, Derek Zhiyuan Cheng
2025	A*	`conf`	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. ICML Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025	J	`jnl`	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. CoRR Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025	J	`jnl`	Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks. CoRR Paul Suganthan, Fedor Moiseev, Le Yan, Junru Wu, Jianmo Ni, Jay Han, Imed Zitouni, Enrique Alfonseca, Xuanhui Wang, Zhe Dong
2024	—	`conf`	HYRR: Hybrid Infused Reranking for Passage Retrieval. LREC/COLING Jing Lu, Keith B. Hall, Ji Ma, Jianmo Ni
2024	J	`jnl`	How to Train Data-Efficient LLMs. CoRR Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng
2024	A	`conf`	Improving Data Efficiency for Recommenders and LLMs. RecSys Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2024	—	`conf`	Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval. NAACL-HLT Nandan Thakur, Jianmo Ni, Gustavo Hernández Ábrego, John Wieting, Jimmy Lin, Daniel Cer
2023	A*	`conf`	A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. EMNLP Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo
2023	J	`jnl`	A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. CoRR Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo
2023	J	`jnl`	Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction. CoRR Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2023	A	`conf`	Efficient Data Representation Learning in Google-scale Systems. RecSys Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi
2023	J	`jnl`	Farzi Data: Autoregressive Data Distillation. CoRR Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley
2023	J	`jnl`	Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval. CoRR Nandan Thakur, Jianmo Ni, Gustavo Hernández Ábrego, John Wieting, Jimmy Lin, Daniel Cer
2023	A*	`conf`	Promptagator: Few-shot Dense Retrieval From 8 Examples. ICLR Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang
2023	—	`conf`	RISE: Leveraging Retrieval Techniques for Summarization Evaluation. ACL (Findings) David C. Uthus, Jianmo Ni
2023	A*	`conf`	RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. SIGIR Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Scaling Up Models and Data with t5x and seqio. J. Mach. Learn. Res. 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
2023	J	`jnl`	WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset. CoRR Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo
2022	J	`jnl`	Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR 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
2022	A*	`conf`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. ICLR 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	A*	`conf`	Exploring Dual Encoder Architectures for Question Answering. EMNLP Zhe Dong, Jianmo Ni, Dan Bikel, Enrique Alfonseca, Yuan Wang, Chen Qu, Imed Zitouni
2022	J	`jnl`	Exploring Dual Encoder Architectures for Question Answering. CoRR Zhe Dong, Jianmo Ni, Dan Bikel, Enrique Alfonseca, Yuan Wang, Chen Qu, Imed Zitouni
2022	J	`jnl`	HYRR: Hybrid Infused Reranking for Passage Retrieval. CoRR Jing Lu, Keith B. Hall, Ji Ma, Jianmo Ni
2022	J	`jnl`	Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts. CoRR Cícero Nogueira dos Santos, Zhe Dong, Daniel Cer, John Nham, Siamak Shakeri, Jianmo Ni, Yun-Hsuan Sung
2022	J	`jnl`	Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation. CoRR Li Zhang, Yan Ge, Jun Ma, Jianmo Ni, Haiping Lu
2022	A*	`conf`	Large Dual Encoders Are Generalizable Retrievers. EMNLP 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
2022	—	`conf`	LongT5: Efficient Text-To-Text Transformer for Long Sequences. NAACL-HLT (Findings) Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang
2022	J	`jnl`	Promptagator: Few-shot Dense Retrieval From 8 Examples. CoRR Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang
2022	J	`jnl`	RISE: Leveraging Retrieval Techniques for Summarization Evaluation. CoRR David C. Uthus, Jianmo Ni
2022	J	`jnl`	RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. CoRR Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
2022	A*	`conf`	SHARE: a System for Hierarchical Assistive Recipe Editing. EMNLP Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley
2022	J	`jnl`	Scaling Up Models and Data with t5x and seqio. CoRR 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
2022	—	`conf`	Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. ACL (Findings) Jianmo Ni, Gustavo Hernández Ábrego, Noah Constant, Ji Ma, Keith B. Hall, Daniel Cer, Yinfei Yang
2022	A*	`conf`	Transformer Memory as a Differentiable Search Index. NeurIPS 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
2022	J	`jnl`	Transformer Memory as a Differentiable Search Index. CoRR Yi Tay, Vinh Q. 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
2021	J	`jnl`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR 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
2021	J	`jnl`	Large Dual Encoders Are Generalizable Retrievers. CoRR 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
2021	J	`jnl`	LongT5: Efficient Text-To-Text Transformer for Long Sequences. CoRR Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang
2021	—	`conf`	Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval. EMNLP (1) Jing Lu, Gustavo Hernández Ábrego, Ji Ma, Jianmo Ni, Yinfei Yang
2021	J	`jnl`	SHARE: a System for Hierarchical Assistive Recipe Editing. CoRR Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley
2021	J	`jnl`	Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. CoRR Jianmo Ni, Gustavo Hernández Ábrego, Noah Constant, Ji Ma, Keith B. Hall, Daniel Cer, Yinfei Yang
2020	A	`conf`	Addressing Marketing Bias in Product Recommendations. WSDM Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley
2020	J	`jnl`	Interview: A Large-Scale Open-Source Corpus of Media Dialog. CoRR Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley
2020	—	`conf`	Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding. EMNLP (1) Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley
2020	—	`conf`	Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. EMNLP (Findings) Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley
2020	J	`jnl`	Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. CoRR Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley
2020	J	`jnl`	Neural Passage Retrieval with Improved Negative Contrast. CoRR Jing Lu, Gustavo Hernández Ábrego, Ji Ma, Jianmo Ni, Yinfei Yang
2020	—	`—`	Personalized and Explainable Models of Text and Sequences. Jianmo Ni
2019	J	`jnl`	Addressing Marketing Bias in Product Recommendations. CoRR Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley
2019	—	`conf`	Generating Personalized Recipes from Historical User Preferences. EMNLP/IJCNLP (1) Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley
2019	J	`jnl`	Generating Personalized Recipes from Historical User Preferences. CoRR Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley
2019	—	`conf`	Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. EMNLP/IJCNLP (1) Jianmo Ni, Jiacheng Li, Julian J. McAuley
2019	—	`conf`	Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. NAACL-HLT (1) Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley
2019	A*	`conf`	Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation. WWW Jianmo Ni, Larry Muhlstein, Julian J. McAuley
2019	—	`conf`	Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation. EMNLP/IJCNLP (1) Liliang Ren, Jianmo Ni, Julian J. McAuley
2019	J	`jnl`	Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation. CoRR Liliang Ren, Jianmo Ni, Julian J. McAuley
2018	J	`jnl`	Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering. CoRR Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley
2018	—	`conf`	Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations. ACL (2) Jianmo Ni, Julian J. McAuley
2018	J	`jnl`	Security-Aware Task Scheduling Using Untrusted Components in High-Level Synthesis. IEEE Access Nan Wang, Song Chen, Jianmo Ni, Xiaofeng Ling, Yu Zhu
2017	—	`conf`	Estimating Reactions and Recommending Products with Generative Models of Reviews. IJCNLP(1) Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley
2017	J	`jnl`	Interconnection Allocation Between Functional Units and Registers in High-Level Synthesis. IEEE Trans. Very Large Scale Integr. Syst. Cong Hao, Jianmo Ni, Nan Wang, Takeshi Yoshimura
2016	J	`jnl`	Analysis and Optimization of Droop Controller for Microgrid System Based on Small-Signal Dynamic Model. IEEE Trans. Smart Grid Kai Yu, Qian Ai, Shiyi Wang, Jianmo Ni, Tianguang Lv
2015	—	`conf`	Primal-dual method based simultaneous functional unit and register binding. ASICON Jianmo Ni, Cong Hao, Nan Wang, Qian Ai, Takeshi Yoshimura
2015	—	`conf`	Simultaneous scheduling and binding for resource usage and interconnect complexity reduction in high-level synthesis. ASICON Cong Hao, Jianmo Ni, Hui-Tong Wang, Takeshi Yoshimura
2015	—	`conf`	Tabu search based multiple voltage scheduling under both timing and resource constraints. ISQED Jianmo Ni, Nan Wang, Takeshi Yoshimura