GPT understands, too X Liu, Y Zheng, Z Du, M Ding, Y Qian, Z Yang, J Tang AI Open 5, 208-215, 2024 | 1669* | 2024 |
CPM: A large-scale generative Chinese pre-trained language model Z Zhang, X Han, H Zhou, P Ke, Y Gu, D Ye, Y Qin, Y Su, H Ji, J Guan, F Qi, ... AI Open 2, 93-99, 2021 | 124 | 2021 |
FlipDA: Effective and robust data augmentation for few-shot learning J Zhou, Y Zheng, J Tang, J Li, Z Yang Proceedings of the 60th Annual Meeting of the Association for Computational …, 2021 | 93 | 2021 |
Nlp from scratch without large-scale pretraining: A simple and efficient framework X Yao, Y Zheng, X Yang, Z Yang Proceedings of the 39th International Conference on Machine Learning 162 …, 2022 | 54 | 2022 |
FewNLU: Benchmarking state-of-the-art methods for few-shot natural language understanding Y Zheng, J Zhou, Y Qian, M Ding, C Liao, J Li, R Salakhutdinov, J Tang, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2021 | 33 | 2021 |
Prompt-based metric learning for few-shot NER Y Chen, Y Zheng, Z Yang Findings of the Association for Computational Linguistics: ACL 2023, 7199–7212, 2022 | 27 | 2022 |
Compositional task representations for large language models N Shao, Z Cai, C Liao, Y Zheng, Z Yang The Eleventh International Conference on Learning Representations, 2023 | 21 | 2023 |
A universal discriminator for zero-shot generalization H Xu, Z Lin, J Zhou, Y Zheng, Z Yang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2022 | 15 | 2022 |
Not all tasks are born equal: Understanding zero-shot generalization J Zhou, Z Lin, Y Zheng, J Li, Z Yang The Eleventh International Conference on Learning Representations, 2022 | 12 | 2022 |
Zero-label prompt selection C Liao, Y Zheng, Z Yang arXiv preprint arXiv:2211.04668, 2022 | 9 | 2022 |
Test4deep: an effective white-box testing for deep neural networks J Yu, Y Fu, Y Zheng, Z Wang, X Ye 2019 IEEE international conference on computational science and engineering …, 2019 | 9 | 2019 |
Solving Sequential Text Classification as Board-Game Playing C Qian, F Feng, L Wen, Z Chen, L Lin, Y Zheng, TS Chua Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8640-8648, 2020 | 3 | 2020 |
How to Generate Reasonable Texts with Controlled Attributes Y Zheng, Y Wang, L Wen, J Wang Database Systems for Advanced Applications: 25th International Conference …, 2020 | 1 | 2020 |
SurgeryLLM: a retrieval-augmented generation large language model framework for surgical decision support and workflow enhancement CS Ong, NT Obey, Y Zheng, A Cohan, EB Schneider npj Digital Medicine 7 (1), 364, 2024 | | 2024 |
TAIL: A Toolkit for Automatic and Realistic Long-Context Large Language Model Evaluation G Gu, Y Zhao, R Ning, Y Zheng, A Cohan Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models Z Shangguan, C Li, Y Ding, Y Zheng, Y Zhao, T Fitzgerald, A Cohan arXiv preprint arXiv:2410.23266, 2024 | | 2024 |
Reducing Surgeons' Routine Task Burden, Enhancing Surgical Decision Making, and Ensuring Patient Safety Using SurgeryLLM CS Ong, NT Obey, Y Zheng, A Cohan, EB Schneider medRxiv, 2024.10. 05.24314932, 2024 | | 2024 |
Generating Contextually Coherent Responses by Learning Structured Vectorized Semantics Y Wang, Y Zheng, S Jiang, Y Dong, J Chen, S Wang Database Systems for Advanced Applications: 26th International Conference …, 2021 | | 2021 |
A Latent-Constrained Variational Neural Dialogue Model for Information-Rich Responses Y Zheng, Y Wang, L Wen, J Wang Proceedings of the 28th ACM International Conference on Information and …, 2019 | | 2019 |
Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory Y Zheng, L Wen, J Wang, J Yan, L Ji Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | | 2017 |