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2020 – today
- 2024
[c29]Jing Lu, Keith B. Hall, Ji Ma, Jianmo Ni:
HYRR: Hybrid Infused Reranking for Passage Retrieval. LREC/COLING 2024: 8528-8534- [c28]Nandan Thakur, Jianmo Ni, Gustavo Hernández Ábrego, John Wieting, Jimmy Lin, Daniel Cer:
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval. NAACL-HLT 2024: 7699-7724 - [c27]Noveen Sachdeva
, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng:
Improving Data Efficiency for Recommenders and LLMs. RecSys 2024: 790-792 - [i28]Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng:
How to Train Data-Efficient LLMs. CoRR abs/2402.09668 (2024) - 2023
- [j4]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:
Scaling Up Models and Data with t5x and seqio. J. Mach. Learn. Res. 24: 377:1-377:8 (2023) - [c26]David C. Uthus, Jianmo Ni:
RISE: Leveraging Retrieval Techniques for Summarization Evaluation. ACL (Findings) 2023: 13697-13709 - [c25]Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo:
A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. EMNLP 2023: 1917-1947 - [c24]Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang:
Promptagator: Few-shot Dense Retrieval From 8 Examples. ICLR 2023 - [c23]Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi:
Efficient Data Representation Learning in Google-scale Systems. RecSys 2023: 267-271 - [c22]Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky:
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. SIGIR 2023: 2308-2313 - [i27]Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo:
A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding. CoRR abs/2305.03668 (2023) - [i26]Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo:
WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset. CoRR abs/2305.05432 (2023) - [i25]Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng:
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction. CoRR abs/2305.06474 (2023) - [i24]Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley:
Farzi Data: Autoregressive Data Distillation. CoRR abs/2310.09983 (2023) - [i23]Nandan Thakur, Jianmo Ni, Gustavo Hernández Ábrego, John Wieting, Jimmy Lin, Daniel Cer:
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval. CoRR abs/2311.05800 (2023) - 2022
- [c21]Jianmo Ni, Gustavo Hernández Ábrego, Noah Constant, Ji Ma, Keith B. Hall, Daniel Cer, Yinfei Yang:
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. ACL (Findings) 2022: 1864-1874 - [c20]Zhe Dong, Jianmo Ni, Dan Bikel, Enrique Alfonseca, Yuan Wang, Chen Qu, Imed Zitouni:
Exploring Dual Encoder Architectures for Question Answering. EMNLP 2022: 9414-9419 - [c19]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:
Large Dual Encoders Are Generalizable Retrievers. EMNLP 2022: 9844-9855 - [c18]Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley:
SHARE: a System for Hierarchical Assistive Recipe Editing. EMNLP 2022: 11077-11090 - [c17]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:
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. ICLR 2022 - [c16]Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang:
LongT5: Efficient Text-To-Text Transformer for Long Sequences. NAACL-HLT (Findings) 2022: 724-736 - [c15]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:
Transformer Memory as a Differentiable Search Index. NeurIPS 2022 - [i22]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:
Transformer Memory as a Differentiable Search Index. CoRR abs/2202.06991 (2022) - [i21]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:
Scaling Up Models and Data with t5x and seqio. CoRR abs/2203.17189 (2022) - [i20]Zhe Dong, Jianmo Ni, Dan Bikel, Enrique Alfonseca, Yuan Wang, Chen Qu, Imed Zitouni:
Exploring Dual Encoder Architectures for Question Answering. CoRR abs/2204.07120 (2022) - [i19]Li Zhang, Yan Ge, Jun Ma, Jianmo Ni, Haiping Lu:
Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation. CoRR abs/2206.13255 (2022) - [i18]Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang:
Promptagator: Few-shot Dense Retrieval From 8 Examples. CoRR abs/2209.11755 (2022) - [i17]Cícero Nogueira dos Santos, Zhe Dong, Daniel Cer, John Nham, Siamak Shakeri, Jianmo Ni, Yun-Hsuan Sung:
Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts. CoRR abs/2210.04726 (2022) - [i16]Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky:
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. CoRR abs/2210.10634 (2022) - [i15]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:
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR abs/2212.08037 (2022) - [i14]David C. Uthus, Jianmo Ni:
RISE: Leveraging Retrieval Techniques for Summarization Evaluation. CoRR abs/2212.08775 (2022) - [i13]Jing Lu, Keith B. Hall, Ji Ma, Jianmo Ni:
HYRR: Hybrid Infused Reranking for Passage Retrieval. CoRR abs/2212.10528 (2022) - 2021
- [c14]Jing Lu, Gustavo Hernández Ábrego, Ji Ma, Jianmo Ni, Yinfei Yang:
Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval. EMNLP (1) 2021: 6091-6103 - [i12]Shuyang Li, Yufei Li, Jianmo Ni, Julian J. McAuley:
SHARE: a System for Hierarchical Assistive Recipe Editing. CoRR abs/2105.08185 (2021) - [i11]Jianmo Ni, Gustavo Hernández Ábrego, Noah Constant, Ji Ma, Keith B. Hall, Daniel Cer, Yinfei Yang:
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. CoRR abs/2108.08877 (2021) - [i10]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:
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR abs/2111.10952 (2021) - [i9]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:
Large Dual Encoders Are Generalizable Retrievers. CoRR abs/2112.07899 (2021) - [i8]Mandy Guo, Joshua Ainslie, David C. Uthus, Santiago Ontañón, Jianmo Ni, Yun-Hsuan Sung, Yinfei Yang:
LongT5: Efficient Text-To-Text Transformer for Long Sequences. CoRR abs/2112.07916 (2021) - 2020
- [b1]Jianmo Ni:
Personalized and Explainable Models of Text and Sequences. University of California, San Diego, USA, 2020 - [c13]Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley:
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. EMNLP (Findings) 2020: 1954-1960 - [c12]Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley:
Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding. EMNLP (1) 2020: 8129-8141 - [c11]Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley:
Addressing Marketing Bias in Product Recommendations. WSDM 2020: 618-626 - [i7]Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley:
Interview: A Large-Scale Open-Source Corpus of Media Dialog. CoRR abs/2004.03090 (2020) - [i6]Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian J. McAuley:
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. CoRR abs/2010.02467 (2020) - [i5]Jing Lu, Gustavo Hernández Ábrego, Ji Ma, Jianmo Ni, Yinfei Yang:
Neural Passage Retrieval with Improved Negative Contrast. CoRR abs/2010.12523 (2020)
2010 – 2019
- 2019
- [c10]Jianmo Ni, Jiacheng Li, Julian J. McAuley:
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. EMNLP/IJCNLP (1) 2019: 188-197 - [c9]Liliang Ren, Jianmo Ni, Julian J. McAuley:
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation. EMNLP/IJCNLP (1) 2019: 1876-1885 - [c8]Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley:
Generating Personalized Recipes from Historical User Preferences. EMNLP/IJCNLP (1) 2019: 5975-5981 - [c7]Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley:
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. NAACL-HLT (1) 2019: 335-344 - [c6]Jianmo Ni, Larry Muhlstein, Julian J. McAuley:
Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation. WWW 2019: 1343-1353 - [i4]Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley:
Generating Personalized Recipes from Historical User Preferences. CoRR abs/1909.00105 (2019) - [i3]Liliang Ren, Jianmo Ni, Julian J. McAuley:
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation. CoRR abs/1909.00754 (2019) - [i2]Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley:
Addressing Marketing Bias in Product Recommendations. CoRR abs/1912.01799 (2019) - 2018
- [j3]Nan Wang, Song Chen, Jianmo Ni, Xiaofeng Ling, Yu Zhu:
Security-Aware Task Scheduling Using Untrusted Components in High-Level Synthesis. IEEE Access 6: 15663-15678 (2018) - [c5]Jianmo Ni, Julian J. McAuley:
Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations. ACL (2) 2018: 706-711 - [i1]Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley:
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering. CoRR abs/1808.09492 (2018) - 2017
- [j2]Cong Hao, Jianmo Ni, Nan Wang, Takeshi Yoshimura:
Interconnection Allocation Between Functional Units and Registers in High-Level Synthesis. IEEE Trans. Very Large Scale Integr. Syst. 25(3): 1140-1153 (2017) - [c4]Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley:
Estimating Reactions and Recommending Products with Generative Models of Reviews. IJCNLP(1) 2017: 783-791 - 2016
- [j1]Kai Yu, Qian Ai, Shiyi Wang, Jianmo Ni, Tianguang Lv:
Analysis and Optimization of Droop Controller for Microgrid System Based on Small-Signal Dynamic Model. IEEE Trans. Smart Grid 7(2): 695-705 (2016) - 2015
- [c3]Cong Hao, Jianmo Ni, Hui-Tong Wang, Takeshi Yoshimura:
Simultaneous scheduling and binding for resource usage and interconnect complexity reduction in high-level synthesis. ASICON 2015: 1-4 - [c2]Jianmo Ni, Cong Hao, Nan Wang, Qian Ai, Takeshi Yoshimura:
Primal-dual method based simultaneous functional unit and register binding. ASICON 2015: 1-4 - [c1]Jianmo Ni, Nan Wang, Takeshi Yoshimura:
Tabu search based multiple voltage scheduling under both timing and resource constraints. ISQED 2015: 118-122
Coauthor Index
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