| Polite dialogue generation without parallel data T Niu, M Bansal Transactions of the Association for Computational Linguistics 6, 373-389, 2018 | 154 | 2018 |
| Detecting linguistic characteristics of Alzheimer's dementia by interpreting neural models S Karlekar, T Niu, M Bansal arXiv preprint arXiv:1804.06440, 2018 | 105 | 2018 |
| Adversarial over-sensitivity and over-stability strategies for dialogue models T Niu, M Bansal arXiv preprint arXiv:1809.02079, 2018 | 70 | 2018 |
| Coco: Controllable counterfactuals for evaluating dialogue state trackers S Li, S Yavuz, K Hashimoto, J Li, T Niu, N Rajani, X Yan, Y Zhou, C Xiong arXiv preprint arXiv:2010.12850, 2020 | 51 | 2020 |
| Automatically learning data augmentation policies for dialogue tasks T Niu, M Bansal arXiv preprint arXiv:1909.12868, 2019 | 34 | 2019 |
| Mixqg: Neural question generation with mixed answer types L Murakhovs' ka, CS Wu, P Laban, T Niu, W Liu, C Xiong arXiv preprint arXiv:2110.08175, 2021 | 26 | 2021 |
| Explaining and improving model behavior with k nearest neighbor representations NF Rajani, B Krause, W Yin, T Niu, R Socher, C Xiong arXiv preprint arXiv:2010.09030, 2020 | 22 | 2020 |
| Unsupervised paraphrasing with pretrained language models T Niu, S Yavuz, Y Zhou, NS Keskar, H Wang, C Xiong arXiv preprint arXiv:2010.12885, 2020 | 17 | 2020 |
| Unsupervised paraphrase generation via dynamic blocking T Niu, S Yavuz, Y Zhou, H Wang, NS Keskar, C Xiong arXiv preprint arXiv:2010.12885, 2020 | 10 | 2020 |
| Char2Subword: Extending the subword embedding space using robust character compositionality G Aguilar, B McCann, T Niu, N Rajani, N Keskar, T Solorio arXiv preprint arXiv:2010.12730, 2020 | 9 | 2020 |
| Char2subword: Extending the subword embedding space from pre-trained models using robust character compositionality G Aguilar, B McCann, T Niu, N Rajani, N Keskar, T Solorio arXiv preprint arXiv:2010.12730, 2020 | 9 | 2020 |
| Deleter: Leveraging bert to perform unsupervised successive text compression T Niu, C Xiong, R Socher arXiv preprint arXiv:1909.03223, 2019 | 6 | 2019 |
| Avgout: A simple output-probability measure to eliminate dull responses T Niu, M Bansal Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8560-8567, 2020 | 4 | 2020 |
| Testing Cross-Database Semantic Parsers With Canonical Utterances H Lent, S Yavuz, T Yu, T Niu, Y Zhou, D Radev, XV Lin Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems …, 2021 | 2 | 2021 |
| OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval T Niu, K Hashimoto, Y Zhou, C Xiong arXiv preprint arXiv:2205.08605, 2022 | 1 | 2022 |
| Systems and methods for cross-lingual transfer in natural language processing T Niu, K Hashimoto, Y Zhou, C Xiong US Patent App. 17/581,380, 2023 | | 2023 |
| Systems and methods for unsupervised autoregressive text compression T Niu, C Xiong, R Socher US Patent 11,487,939, 2022 | | 2022 |
| Marvista: A Human-AI Collaborative Reading Tool XA Chen, CS Wu, T Niu, W Liu, C Xiong arXiv preprint arXiv:2207.08401, 2022 | | 2022 |
| Systems and methods for unsupervised paraphrase generation T Niu, S Yavuz, Y Zhou, NS Keskar, W Huan, C Xiong US Patent App. 17/161,214, 2022 | | 2022 |
| Systems and methods for a k-nearest neighbor based mechanism of natural language processing models N Rajani, T Niu, W Yin US Patent App. 17/090,553, 2021 | | 2021 |
Caiming XiongSalesforce ResearchVerified email at salesforce.com
