| Justifying recommendations using distantly-labeled reviews and fine-grained aspects J Ni, J Li, J McAuley Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 1411 | 2019 |
| Sentence-t5: Scalable sentence encoders from pre-trained text-to-text models J Ni, GH Abrego, N Constant, J Ma, KB Hall, D Cer, Y Yang arXiv preprint arXiv:2108.08877, 2021 | 381 | 2021 |
| Analysis and optimization of droop controller for microgrid system based on small-signal dynamic model K Yu, Q Ai, S Wang, J Ni, T Lv IEEE Transactions on Smart Grid 7 (2), 695-705, 2015 | 327 | 2015 |
| Large dual encoders are generalizable retrievers J Ni, C Qu, J Lu, Z Dai, GH Ábrego, J Ma, VY Zhao, Y Luan, KB Hall, ... arXiv preprint arXiv:2112.07899, 2021 | 301 | 2021 |
| LongT5: Efficient text-to-text transformer for long sequences M Guo, J Ainslie, D Uthus, S Ontanon, J Ni, YH Sung, Y Yang arXiv preprint arXiv:2112.07916, 2021 | 252 | 2021 |
| Transformer memory as a differentiable search index Y Tay, V Tran, M Dehghani, J Ni, D Bahri, H Mehta, Z Qin, K Hui, Z Zhao, ... Advances in Neural Information Processing Systems 35, 21831-21843, 2022 | 203 | 2022 |
| Ext5: Towards extreme multi-task scaling for transfer learning V Aribandi, Y Tay, T Schuster, J Rao, HS Zheng, SV Mehta, H Zhuang, ... arXiv preprint arXiv:2111.10952, 2021 | 195 | 2021 |
| Promptagator: Few-shot dense retrieval from 8 examples Z Dai, VY Zhao, J Ma, Y Luan, J Ni, J Lu, A Bakalov, K Guu, KB Hall, ... arXiv preprint arXiv:2209.11755, 2022 | 161 | 2022 |
| Scaling Up Models and Data with T5X and SeqIO A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ... https://arxiv.org/abs/2203.17189, 2022 | 143 | 2022 |
| Generating personalized recipes from historical user preferences BP Majumder, S Li, J Ni, J McAuley arXiv preprint arXiv:1909.00105, 2019 | 122 | 2019 |
| Modeling heart rate and activity data for personalized fitness recommendation J Ni, L Muhlstein, J McAuley The World Wide Web Conference, 1343-1353, 2019 | 109 | 2019 |
| Economic power transaction using coalitional game strategy in micro‐grids J Ni, Q Ai IET Generation, Transmission & Distribution 10 (1), 10-18, 2016 | 95 | 2016 |
| Scalable and accurate dialogue state tracking via hierarchical sequence generation L Ren, J Ni, J McAuley arXiv preprint arXiv:1909.00754, 2019 | 90 | 2019 |
| Attributed question answering: Evaluation and modeling for attributed large language models B Bohnet, VQ Tran, P Verga, R Aharoni, D Andor, LB Soares, M Ciaramita, ... arXiv preprint arXiv:2212.08037, 2022 | 89 | 2022 |
| Do llms understand user preferences? evaluating llms on user rating prediction WC Kang, J Ni, N Mehta, M Sathiamoorthy, L Hong, E Chi, DZ Cheng arXiv preprint arXiv:2305.06474, 2023 | 85 | 2023 |
| Personalized review generation by expanding phrases and attending on aspect-aware representations J Ni, J McAuley Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 84 | 2018 |
| Rankt5: Fine-tuning t5 for text ranking with ranking losses H Zhuang, Z Qin, R Jagerman, K Hui, J Ma, J Lu, J Ni, X Wang, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 82 | 2023 |
| Addressing marketing bias in product recommendations M Wan, J Ni, R Misra, J McAuley Proceedings of the 13th international conference on web search and data …, 2020 | 66 | 2020 |
| Estimating reactions and recommending products with generative models of reviews J Ni, ZC Lipton, S Vikram, J McAuley Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 53 | 2017 |
| Learning to attend on essential terms: An enhanced retriever-reader model for open-domain question answering J Ni, C Zhu, W Chen, J McAuley arXiv preprint arXiv:1808.09492, 2018 | 51 | 2018 |
