| 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 | 449 | 2021 |
| 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 | 345 | 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 | 184 | 2022 |
| Zero-shot neural passage retrieval via domain-targeted synthetic question generation J Ma, I Korotkov, Y Yang, K Hall, R McDonald arXiv preprint arXiv:2004.14503, 2020 | 123 | 2020 |
| State-of-the-art Chinese word segmentation with Bi-LSTMs J Ma, K Ganchev, D Weiss arXiv preprint arXiv:1808.06511, 2018 | 114 | 2018 |
| 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 | 106 | 2022 |
| 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 | 95 | 2023 |
| Natural language processing with small feed-forward networks JA Botha, E Pitler, J Ma, A Bakalov, A Salcianu, D Weiss, R McDonald, ... arXiv preprint arXiv:1708.00214, 2017 | 44 | 2017 |
| SyntaxNet models for the CoNLL 2017 shared task C Alberti, D Andor, I Bogatyy, M Collins, D Gillick, L Kong, T Koo, J Ma, ... arXiv preprint arXiv:1703.04929, 2017 | 40 | 2017 |
| Tagging the web: Building a robust web tagger with neural network J Ma, Y Zhang, J Zhu Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 31 | 2014 |
| Zero-shot neural retrieval via domain-targeted synthetic query generation J Ma, I Korotkov, Y Yang, K Hall, R McDonald arXiv preprint arXiv:2004.14503 14503 (2020), 1-10, 2020 | 30 | 2020 |
| Multi-stage training with improved negative contrast for neural passage retrieval J Lu, GH Abrego, J Ma, J Ni, Y Yang Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 29 | 2021 |
| QAmeleon: Multilingual QA with Only 5 Examples P Agrawal, C Alberti, F Huot, J Maynez, J Ma, S Ruder, K Ganchev, D Das, ... Transactions of the Association for Computational Linguistics 11, 1754-1771, 2023 | 27 | 2023 |
| Neural passage retrieval with improved negative contrast J Lu, GH Ábrego, J Ma, J Ni, Y Yang arXiv preprint arXiv:2010.12523, 2020 | 25 | 2020 |
| Easy-first pos tagging and dependency parsing with beam search J Ma, J Zhu, T Xiao, N Yang Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 25 | 2013 |
| RRF102: Meeting the TREC-COVID challenge with a 100+ runs ensemble M Bendersky, H Zhuang, J Ma, S Han, K Hall, R McDonald arXiv preprint arXiv:2010.00200, 2020 | 21 | 2020 |
| Punctuation processing for projective dependency parsing J Ma, Y Zhang, J Zhu Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 18 | 2014 |
| QURIOUS: Question generation pretraining for text generation S Narayan, G Simoes, J Ma, H Craighead, R Mcdonald arXiv preprint arXiv:2004.11026, 2020 | 17 | 2020 |
| Ed2lm: Encoder-decoder to language model for faster document re-ranking inference K Hui, H Zhuang, T Chen, Z Qin, J Lu, D Bahri, J Ma, JP Gupta, CN Santos, ... arXiv preprint arXiv:2204.11458, 2022 | 15 | 2022 |
| Easy-first chinese pos tagging and dependency parsing J Ma, T Xiao, J Zhu, F Ren Proceedings of COLING 2012, 1731-1746, 2012 | 15 | 2012 |
Kuzman GanchevGoogle IncПодтвержден адрес электронной почты в домене google.com
