| Supporting Clustering with Contrastive Learning D Zhang, F Nan, X Wei, S Li, H Zhu, K McKeown, R Nallapati, A Arnold, ... NAACL 2021, 2021 | 222 | 2021 |
| Entity-level Factual Consistency of Abstractive Text Summarization F Nan, R Nallapati, Z Wang, CN Santos, H Zhu, D Zhang, K McKeown, ... EACL 2021, 2021 | 164 | 2021 |
| Lifelong pretraining: Continually adapting language models to emerging corpora X Jin, D Zhang, H Zhu, W Xiao, SW Li, X Wei, A Arnold, X Ren NAACL 2022 (Oral), 2021 | 119 | 2021 |
| Improving Factual Consistency of Abstractive Summarization via Question Answering F Nan, CN Santos, H Zhu, P Ng, K McKeown, R Nallapati, D Zhang, ... ACL 2021, 2021 | 97 | 2021 |
| Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation D Zhang, L Balzano International Conference on Artificial Intelligence and Statistics, AISTATS 2016, 2016 | 81 | 2016 |
| Iterative Grassmannian optimization for robust image alignment J He, D Zhang, L Balzano, T Tao Image and Vision Computing 32 (10), 800-813, 2014 | 70 | 2014 |
| Deep unsupervised clustering using mixture of autoencoders D Zhang, Y Sun, B Eriksson, L Balzano arXiv preprint arXiv:1712.07788, 2017 | 58 | 2017 |
| Pairwise Supervised Contrastive Learning of Sentence Representations D Zhang, SW Li, W Xiao, H Zhu, R Nallapati, AO Arnold, B Xiang EMNLP 2021, 2021 | 56 | 2021 |
| LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING D Zhang, H Wang, MAT Figueiredo, L Balzano The International Conference on Learning Representations, ICLR 2018, 2018 | 55 | 2018 |
| Knowledge enhanced pretrained language models: A compreshensive survey X Wei, S Wang, D Zhang, P Bhatia, A Arnold arXiv preprint arXiv:2110.08455, 2021 | 48 | 2021 |
| Qaner: Prompting question answering models for few-shot named entity recognition AT Liu, W Xiao, H Zhu, D Zhang, SW Li, A Arnold arXiv preprint arXiv:2203.01543, 2022 | 41 | 2022 |
| Virtual Augmentation Supported Contrastive Learning of Sentence Representations D Zhang, W Xiao, H Zhu, X Ma, AO Arnold Findings of ACL 2022, 2021 | 26 | 2021 |
| Exploring Continual Learning for Code Generation Models P Yadav, Q Sun, H Ding, X Li, D Zhang, M Tan, X Ma, P Bhatia, ... ACL 2023, 2023 | 23 | 2023 |
| Iterative online subspace learning for robust image alignment J He, D Zhang, L Balzano, T Tao 2013 10th IEEE International Conference and Workshops on Automatic Face and …, 2013 | 22 | 2013 |
| Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction Y Gao, H Zhu, P Ng, CN Santos, Z Wang, F Nan, D Zhang, R Nallapati, ... ACL 2021, 2020 | 20 | 2020 |
| Learning Dialogue Representations from Consecutive Utterances Z Zhou, D Zhang, W Xiao, N Dingwall, X Ma, AO Arnold, B Xiang NAACL 2022, 2022 | 18 | 2022 |
| Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data D Zhang, L Balzano https://arxiv.org/abs/1610.00199, 2016 | 14 | 2016 |
| Repoformer: Selective Retrieval for Repository-Level Code Completion D Wu, WU Ahmad, D Zhang, MK Ramanathan, X Ma ICML 2024 (Oral), 2024 | 13 | 2024 |
| Margin-aware unsupervised domain adaptation for cross-lingual text labeling D Zhang, R Nallapati, H Zhu, F Nan, C dos Santos, K McKeown, B Xiang Findings of the Association for Computational Linguistics: EMNLP 2020, 3527-3536, 2020 | 11 | 2020 |
| ContraCLM: Contrastive Learning For Causal Language Model N Jain, D Zhang, WU Ahmad, Z Wang, F Nan, X Li, M Tan, R Nallapati, ... ACL 2023, 2022 | 9 | 2022 |
Ramesh Maruthi NallapatiPrincipal Applied Scientist, Amazon AWS AIVerified email at amazon.com
