Simultaneous scheduling and binding for resource usage and interconnect complexity reduction in high-level synthesis. - Cong Hao; Jianmo Ni; Hui-Tong Wang; Takeshi Yoshimura (ASICON, 2015)

Primal-dual method based simultaneous functional unit and register binding. - Jianmo Ni; Cong Hao; Nan Wang 003; Qian Ai; Takeshi Yoshimura (ASICON, 2015)

Tabu search based multiple voltage scheduling under both timing and resource constraints. - Jianmo Ni; Nan Wang 003; Takeshi Yoshimura (ISQED, 2015)

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)

Estimating Reactions and Recommending Products with Generative Models of Reviews. - Jianmo Ni; Zachary C. Lipton; Sharad Vikram; Julian J. McAuley (IJCNLP(1), 2017)

Interconnection Allocation Between Functional Units and Registers in High-Level Synthesis. - Cong Hao; Jianmo Ni; Nan Wang 003; Takeshi Yoshimura (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations. - Jianmo Ni; Julian J. McAuley (ACL (2), 2018)

Security-Aware Task Scheduling Using Untrusted Components in High-Level Synthesis. - Nan Wang 003; Song Chen 001; Jianmo Ni; Xiaofeng Ling; Yu Zhu 005 (IEEE Access, 2018)

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering. - Jianmo Ni; Chenguang Zhu 001; Weizhu Chen; Julian J. McAuley (CoRR, 2018)

Generating Personalized Recipes from Historical User Preferences. - Bodhisattwa Prasad Majumder; Shuyang Li; Jianmo Ni; Julian J. McAuley (EMNLP/IJCNLP (1), 2019)

Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. - Jianmo Ni; Jiacheng Li 003; Julian J. McAuley (EMNLP/IJCNLP (1), 2019)

Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation. - Liliang Ren; Jianmo Ni; Julian J. McAuley (EMNLP/IJCNLP (1), 2019)

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. - Jianmo Ni; Chenguang Zhu 001; Weizhu Chen; Julian J. McAuley (NAACL-HLT (1), 2019)

Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation. - Jianmo Ni; Larry Muhlstein; Julian J. McAuley (WWW, 2019)

Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding. - Bodhisattwa Prasad Majumder; Shuyang Li; Jianmo Ni; Julian J. McAuley (EMNLP (1), 2020)

Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays. - Jianmo Ni; Chun-Nan Hsu; Amilcare Gentili; Julian J. McAuley (EMNLP (Findings), 2020)

Addressing Marketing Bias in Product Recommendations. - Mengting Wan; Jianmo Ni; Rishabh Misra; Julian J. McAuley (WSDM, 2020)

Interview: A Large-Scale Open-Source Corpus of Media Dialog. - Bodhisattwa Prasad Majumder; Shuyang Li; Jianmo Ni; Julian J. McAuley (CoRR, 2020)

Neural Passage Retrieval with Improved Negative Contrast. - Jing Lu; Gustavo Hernández Ábrego; Ji Ma 004; Jianmo Ni; Yinfei Yang (CoRR, 2020)

Personalized and Explainable Models of Text and Sequences. - Jianmo Ni (2020)

Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval. - Jing Lu; Gustavo Hernández Ábrego; Ji Ma 004; Jianmo Ni; Yinfei Yang (EMNLP (1), 2021)

Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. - Jianmo Ni; Gustavo Hernández Ábrego; Noah Constant; Ji Ma 004; Keith B. Hall; Daniel Cer; Yinfei Yang (ACL (Findings), 2022)

Exploring Dual Encoder Architectures for Question Answering. - Zhe Dong; Jianmo Ni; Dan Bikel; Enrique Alfonseca; Yuan Wang; Chen Qu 001; Imed Zitouni (EMNLP, 2022)

SHARE: a System for Hierarchical Assistive Recipe Editing. - Shuyang Li; Yufei Li 001; Jianmo Ni; Julian J. McAuley (EMNLP, 2022)

Large Dual Encoders Are Generalizable Retrievers. - Jianmo Ni; Chen Qu 001; Jing Lu; Zhuyun Dai; Gustavo Hernández Ábrego; Ji Ma 004; Vincent Y. Zhao; Yi Luan; Keith B. Hall; Ming-Wei Chang; Yinfei Yang (EMNLP, 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 002; Dara Bahri; Jianmo Ni; Jai Prakash Gupta 001; Kai Hui 001; et al. (ICLR, 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 (NAACL-HLT (Findings), 2022)

Transformer Memory as a Differentiable Search Index. - Yi Tay; Vinh Tran 002; Mostafa Dehghani 001; Jianmo Ni; Dara Bahri; Harsh Mehta; Zhen Qin 001; Kai Hui 001; Zhe Zhao 001; Jai Prakash Gupta 001; Tal Schuster; William W. Cohen; et al. (NeurIPS, 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; et al. (CoRR, 2022)

Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation. - Li Zhang 131; Yan Ge; Jun Ma 029; Jianmo Ni; Haiping Lu (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)

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. - Bernd Bohnet; Vinh Q. Tran 002; Pat Verga; Roee Aharoni; Daniel Andor; Livio Baldini Soares; Jacob Eisenstein; Kuzman Ganchev; Jonathan Herzig; Kai Hui 001; Tom Kwiatkowski; Ji Ma 004; et al. (CoRR, 2022)

RISE: Leveraging Retrieval Techniques for Summarization Evaluation. - David C. Uthus; Jianmo Ni (ACL (Findings), 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 (EMNLP, 2023)

Promptagator: Few-shot Dense Retrieval From 8 Examples. - Zhuyun Dai; Vincent Y. Zhao; Ji Ma 004; Yi Luan; Jianmo Ni; Jing Lu; Anton Bakalov; Kelvin Guu; Keith B. Hall; Ming-Wei Chang (ICLR, 2023)

Efficient Data Representation Learning in Google-scale Systems. - Derek Zhiyuan Cheng; Ruoxi Wang; Wang-Cheng Kang; Benjamin Coleman; Yin Zhang 011; Jianmo Ni; Jonathan Valverde; Lichan Hong; Ed H. Chi (RecSys, 2023)

RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. - Honglei Zhuang; Zhen Qin 001; Rolf Jagerman; Kai Hui 001; Ji Ma 004; Jing Lu; Jianmo Ni; Xuanhui Wang; Michael Bendersky (SIGIR, 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)

Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction. - Wang-Cheng Kang; Jianmo Ni; Nikhil Mehta 002; Maheswaran Sathiamoorthy; Lichan Hong; Ed H. Chi; Derek Zhiyuan Cheng (CoRR, 2023)

Farzi Data: Autoregressive Data Distillation. - Noveen Sachdeva; Zexue He; Wang-Cheng Kang; Jianmo Ni; Derek Zhiyuan Cheng; Julian J. McAuley (CoRR, 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; et al. (J. Mach. Learn. Res., 2023)

HYRR: Hybrid Infused Reranking for Passage Retrieval. - Jing Lu; Keith B. Hall; Ji Ma 004; Jianmo Ni (LREC/COLING, 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 (NAACL-HLT, 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 (RecSys, 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)

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 (CoRR, 2025)

Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks. - Paul Suganthan; Fedor Moiseev; Le Yan; Junru Wu; Jianmo Ni; Jay Han; Imed Zitouni; Enrique Alfonseca; Xuanhui Wang; Zhe Dong (CoRR, 2025)