| Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation J Li, D Li, C Xiong, S Hoi International conference on machine learning, 12888-12900, 2022 | 2707 | 2022 |
| Pointer Sentinel Mixture Models S Merity, C Xiong, J Bradbury, R Socher International Conference on Learning Representations (ICLR), 2017 | 2131 | 2017 |
| A deep reinforced model for abstractive summarization R Paulus, C Xiong, R Socher International Conference on Learning Representations (ICLR), 2018 | 1883 | 2018 |
| Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning J Lu*, C Xiong*, D Parikh, R Socher 2017 Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 1785 | 2017 |
| Align before fuse: Vision and language representation learning with momentum distillation J Li, R Selvaraju, A Gotmare, S Joty, C Xiong, SCH Hoi Advances in neural information processing systems 34, 9694-9705, 2021 | 1582 | 2021 |
| Learned in translation: Contextualized word vectors B McCann, J Bradbury, C Xiong, R Socher Advances in neural information processing systems 30, 2017 | 1244 | 2017 |
| Ctrl: A conditional transformer language model for controllable generation NS Keskar, B McCann, LR Varshney, C Xiong, R Socher arXiv preprint arXiv:1909.05858, 2019 | 1178 | 2019 |
| Seq2sql: Generating structured queries from natural language using reinforcement learning V Zhong, C Xiong, R Socher arXiv preprint arXiv:1709.00103, 2017 | 1093 | 2017 |
| Prototypical contrastive learning of unsupervised representations J Li, P Zhou, C Xiong, SCH Hoi arXiv preprint arXiv:2005.04966, 2020 | 997 | 2020 |
| Dynamic Memory Networks for Visual and Textual Question Answering C Xiong, S Merity, R Socher The 33rd International Conference on Machine Learning (ICML), 2016 | 895 | 2016 |
| Non-Autoregressive Neural Machine Translation J Gu, J Bradbury, C Xiong, VOK Li, R Socher International Conference on Learning Representations (ICLR), 2018 | 814 | 2018 |
| Dynamic Coattention Networks For Question Answering C Xiong, V Zhong, R Socher International Conference on Learning Representations (ICLR), 2017 | 717 | 2017 |
| Codegen: An open large language model for code with multi-turn program synthesis E Nijkamp, B Pang, H Hayashi, L Tu, H Wang, Y Zhou, S Savarese, ... arXiv preprint arXiv:2203.13474, 2022 | 680 | 2022 |
| The natural language decathlon: Multitask learning as question answering B McCann, NS Keskar, C Xiong, R Socher arXiv preprint arXiv:1806.08730, 2018 | 673 | 2018 |
| A joint many-task model: Growing a neural network for multiple NLP tasks K Hashimoto, C Xiong, Y Tsuruoka, R Socher The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017 | 659 | 2017 |
| Evaluating the factual consistency of abstractive text summarization W Kryściński, B McCann, C Xiong, R Socher arXiv preprint arXiv:1910.12840, 2019 | 655 | 2019 |
| End-to-end dense video captioning with masked transformer L Zhou, Y Zhou, JJ Corso, R Socher, C Xiong Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 636 | 2018 |
| Quasi-Recurrent Neural Networks J Bradbury, S Merity, C Xiong, R Socher International Conference on Learning Representations (ICLR), 2017 | 615 | 2017 |
| ERASER: A benchmark to evaluate rationalized NLP models J DeYoung, S Jain, NF Rajani, E Lehman, C Xiong, R Socher, ... arXiv preprint arXiv:1911.03429, 2019 | 584 | 2019 |
| Summeval: Re-evaluating summarization evaluation AR Fabbri, W Kryściński, B McCann, C Xiong, R Socher, D Radev Transactions of the Association for Computational Linguistics 9, 391-409, 2021 | 576 | 2021 |
Richard Socheryou.com在 stanford.edu 的电子邮件经过验证
