| Enhanced Visual Instruction Tuning for Text-Rich Image Understanding Y Zhang, R Zhang, J Gu, Y Zhou, N Lipka, D Yang, T Sun NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023 | 108* | 2023 |
| Continual Learning for Text Classification with Information Disentanglement Based Regularization Y Huang*, Y Zhang*, J Chen, X Wang, D Yang NAACL 2021, 2736–2746, 2021 | 68 | 2021 |
| Dynamic llm-agent network: An llm-agent collaboration framework with agent team optimization Z Liu, Y Zhang, P Li, Y Liu, D Yang COLM 2024, 2023 | 37 | 2023 |
| Continual Sequence Generation with Adaptive Compositional Modules Y Zhang, X Wang, D Yang ACL 2022, 3653–3667, 2022 | 35 | 2022 |
| Auditing gender presentation differences in text-to-image models Y Zhang, L Jiang, G Turk, D Yang EAAMO 2024, 2023 | 16 | 2023 |
| Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints A Lu, H Zhang, Y Zhang, X Wang, D Yang EACL 2023 (Findings), 1937–1963, 2023 | 13 | 2023 |
| Design2Code: How Far Are We From Automating Front-End Engineering? C Si*, Y Zhang*, Z Yang, R Liu, D Yang arXiv preprint arXiv:2403.03163, 2024 | 10* | 2024 |
| Robustness of Demonstration-based Learning Under Limited Data Scenario H Zhang, Y Zhang, R Zhang, D Yang EMNLP 2022, 1769–1782, 2022 | 10 | 2022 |
| Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition A Reich, J Chen, A Agrawal, Y Zhang, D Yang ACL 2022 (Findings), 1947–1955, 2022 | 6 | 2022 |
| Best practices and lessons learned on synthetic data for language models R Liu, J Wei, F Liu, C Si, Y Zhang, J Rao, S Zheng, D Peng, D Yang, ... COLM 2024, 2024 | 4 | 2024 |
| TRINS: Towards Multimodal Language Models that Can Read R Zhang, Y Zhang, J Chen, Y Zhou, J Gu, C Chen, T Sun CVPR 2024, 22584-22594, 2024 | | 2024 |
Diyi YangStanford UniversityVerified email at stanford.edu
