| Abstractive text summarization using sequence-to-sequence rnns and beyond R Nallapati, B Zhou, C Gulcehre, B Xiang arXiv preprint arXiv:1602.06023, 2016 | 3084 | 2016 |
| Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora D Ramage, D Hall, R Nallapati, CD Manning Proceedings of the 2009 conference on empirical methods in natural language …, 2009 | 1918 | 2009 |
| Summarunner: A recurrent neural network based sequence model for extractive summarization of documents R Nallapati, F Zhai, B Zhou Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 1603 | 2017 |
| Multi-instance multi-label learning for relation extraction M Surdeanu, J Tibshirani, R Nallapati, CD Manning Proceedings of the 2012 joint conference on empirical methods in natural …, 2012 | 928 | 2012 |
| Ocgan: One-class novelty detection using gans with constrained latent representations P Perera, R Nallapati, B Xiang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 688 | 2019 |
| Pointing the unknown words C Gulcehre, S Ahn, R Nallapati, B Zhou, Y Bengio arXiv preprint arXiv:1603.08148, 2016 | 677 | 2016 |
| Joint latent topic models for text and citations RM Nallapati, A Ahmed, EP Xing, WW Cohen Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 561 | 2008 |
| Discriminative models for information retrieval R Nallapati Proceedings of the 27th annual international ACM SIGIR conference on …, 2004 | 429 | 2004 |
| A comparative study of methods for transductive transfer learning A Arnold, R Nallapati, WW Cohen Seventh IEEE international conference on data mining workshops (ICDMW 2007 …, 2007 | 381 | 2007 |
| Event threading within news topics R Nallapati, A Feng, F Peng, J Allan Proceedings of the thirteenth ACM international conference on Information …, 2004 | 358 | 2004 |
| Multi-passage BERT: A globally normalized BERT model for open-domain question answering Z Wang, P Ng, X Ma, R Nallapati, B Xiang arXiv preprint arXiv:1908.08167, 2019 | 343 | 2019 |
| Supporting clustering with contrastive learning D Zhang, F Nan, X Wei, S Li, H Zhu, K McKeown, R Nallapati, A Arnold, ... arXiv preprint arXiv:2103.12953, 2021 | 237 | 2021 |
| Sequence-to-sequence rnns for text summarization R Nallapati, B Xiang, B Zhou | 197 | 2016 |
| Link-PLSA-LDA: A new unsupervised model for topics and influence of blogs R Nallapati, W Cohen Proceedings of the International AAAI Conference on Web and Social Media 2 …, 2008 | 188 | 2008 |
| Entity-level factual consistency of abstractive text summarization F Nan, R Nallapati, Z Wang, CN Santos, H Zhu, D Zhang, K McKeown, ... arXiv preprint arXiv:2102.09130, 2021 | 176 | 2021 |
| Topic modeling with wasserstein autoencoders F Nan, R Ding, R Nallapati, B Xiang arXiv preprint arXiv:1907.12374, 2019 | 164 | 2019 |
| Elastic machine learning algorithms in amazon sagemaker E Liberty, Z Karnin, B Xiang, L Rouesnel, B Coskun, R Nallapati, ... Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 146 | 2020 |
| A moving unstructured staggered mesh method for the simulation of incompressible free-surface flows B Perot, R Nallapati Journal of computational physics 184 (1), 192-214, 2003 | 140 | 2003 |
| Domain adaptation with BERT-based domain classification and data selection X Ma, P Xu, Z Wang, R Nallapati, B Xiang Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource …, 2019 | 133 | 2019 |
| Multi-lingual evaluation of code generation models B Athiwaratkun, SK Gouda, Z Wang, X Li, Y Tian, M Tan, WU Ahmad, ... arXiv preprint arXiv:2210.14868, 2022 | 126 | 2022 |
Bing XiangHead of AI Research, Goldman Sachs在 gs.com 的電子郵件地址已通過驗證
