| Long range arena: A benchmark for efficient transformers Y Tay, M Dehghani, S Abnar, Y Shen, D Bahri, P Pham, J Rao, L Yang, ... ICLR 2021, 2020 | 664 | 2020 |
| Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks Y Shen, S Tan, A Sordoni, A Courville ICLR 2019, 2019 | 406 | 2019 |
| Principle-driven self-alignment of language models from scratch with minimal human supervision Z Sun, Y Shen, Q Zhou, H Zhang, Z Chen, D Cox, Y Yang, C Gan Advances in Neural Information Processing Systems 36, 2024 | 291 | 2024 |
| Banditsum: Extractive summarization as a contextual bandit Y Dong, Y Shen, E Crawford, H van Hoof, JCK Cheung EMNLP 2018, 2018 | 236 | 2018 |
| Neural language modeling by jointly learning syntax and lexicon Y Shen, Z Lin, CW Huang, A Courville ICLR 2018, 2017 | 205 | 2017 |
| Aligning large multimodal models with factually augmented rlhf Z Sun, S Shen, S Cao, H Liu, C Li, Y Shen, C Gan, LY Gui, YX Wang, ... arXiv preprint arXiv:2309.14525, 2023 | 195 | 2023 |
| Prompting decision transformer for few-shot policy generalization M Xu, Y Shen, S Zhang, Y Lu, D Zhao, J Tenenbaum, C Gan international conference on machine learning, 24631-24645, 2022 | 133 | 2022 |
| Transformer-patcher: One mistake worth one neuron Z Huang, Y Shen, X Zhang, J Zhou, W Rong, Z Xiong arXiv preprint arXiv:2301.09785, 2023 | 130 | 2023 |
| Planning with large language models for code generation S Zhang, Z Chen, Y Shen, M Ding, JB Tenenbaum, C Gan arXiv preprint arXiv:2303.05510, 2023 | 124 | 2023 |
| Straight to the tree: Constituency parsing with neural syntactic distance Y Shen, Z Lin, AP Jacob, A Sordoni, A Courville, Y Bengio ACL 2018, 2018 | 98 | 2018 |
| Gated linear attention transformers with hardware-efficient training S Yang, B Wang, Y Shen, R Panda, Y Kim arXiv preprint arXiv:2312.06635, 2023 | 81 | 2023 |
| Mod-squad: Designing mixtures of experts as modular multi-task learners Z Chen, Y Shen, M Ding, Z Chen, H Zhao, EG Learned-Miller, C Gan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 75 | 2023 |
| Question/answer matching for CQA system via combining lexical and sequential information Y Shen, W Rong, Z Sun, Y Ouyang, Z Xiong AAAI 2015, 2015 | 72 | 2015 |
| Convolutional neural network based sentiment analysis using Adaboost combination Y Gao, W Rong, Y Shen, Z Xiong 2016 International Joint Conference on Neural Networks (IJCNN), 1333-1338, 2016 | 65 | 2016 |
| SALMON: Self-Alignment with Instructable Reward Models Z Sun, Y Shen, H Zhang, Q Zhou, Z Chen, DD Cox, Y Yang, C Gan The Twelfth International Conference on Learning Representations, 2024 | 60* | 2024 |
| Word embedding based correlation model for question/answer matching Y Shen, W Rong, N Jiang, B Peng, J Tang, Z Xiong AAAI 2017 31 (1), 2017 | 60 | 2017 |
| Graphtext: Graph reasoning in text space J Zhao, L Zhuo, Y Shen, M Qu, K Liu, M Bronstein, Z Zhu, J Tang arXiv preprint arXiv:2310.01089, 2023 | 52 | 2023 |
| Structformer: Joint unsupervised induction of dependency and constituency structure from masked language modeling Y Shen, Y Tay, C Zheng, D Bahri, D Metzler, A Courville ACL 2021, 2020 | 46 | 2020 |
| Hyper-decision transformer for efficient online policy adaptation M Xu, Y Lu, Y Shen, S Zhang, D Zhao, C Gan arXiv preprint arXiv:2304.08487, 2023 | 42 | 2023 |
| Mixture of attention heads: Selecting attention heads per token X Zhang, Y Shen, Z Huang, J Zhou, W Rong, Z Xiong arXiv preprint arXiv:2210.05144, 2022 | 33 | 2022 |
Chuang GanUMass Amherst | MIT-IBM Watson AI Lab在 csail.mit.edu 的电子邮件经过验证
