| A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Z Liu, Y Zhang, P Li, Y Liu, D Yang COLM 2024, 2024 | 344* | 2024 |
| 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 | 308* | 2023 |
| 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 | 274* | 2024 |
| Continual Learning for Text Classification with Information Disentanglement Based Regularization Y Huang*, Y Zhang*, J Chen, X Wang, D Yang NAACL 2021, 2021 | 139 | 2021 |
| Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering C Si*, Y Zhang*, R Li, Z Yang, R Liu, D Yang NAACL 2025, 2025 | 126* | 2025 |
| Attacking Vision-Language Computer Agents via Pop-ups Y Zhang, T Yu, D Yang ACL 2025, 2025 | 82* | 2025 |
| Swe-smith: Scaling data for software engineering agents J Yang, K Lieret, CE Jimenez, A Wettig, K Khandpur, Y Zhang, B Hui, ... NeurIPS 2025 Datasets & Benchmarks, 2025 | 76 | 2025 |
| Continual Sequence Generation with Adaptive Compositional Modules Y Zhang, X Wang, D Yang ACL 2022, 2022 | 59 | 2022 |
| 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), 2023 | 53 | 2023 |
| Auditing gender presentation differences in text-to-image models Y Zhang, L Jiang, G Turk, D Yang EAAMO 2024, 2024 | 39 | 2024 |
| Distilling an end-to-end voice assistant without instruction training data W Held, Y Zhang, W Shi, M Li, M Ryan, D Yang ACL 2025, 2025 | 25 | 2025 |
| Robustness of Demonstration-based Learning Under Limited Data Scenario H Zhang, Y Zhang, R Zhang, D Yang EMNLP 2022, 2022 | 20 | 2022 |
| Sketch2Code: Evaluating Vision-Language Models for Interactive Web Design Prototyping R Li, Y Zhang, D Yang NAACL 2025, 2025 | 19 | 2025 |
| TRINS: Towards Multimodal Language Models that Can Read R Zhang, Y Zhang, J Chen, Y Zhou, J Gu, C Chen, T Sun CVPR 2024, 2024 | 14 | 2024 |
| 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), 2022 | 11 | 2022 |
| Egonormia: Benchmarking physical social norm understanding MH Rezaei, Y Fu, P Cuvin, C Ziems, Y Zhang, H Zhu, D Yang ACL 2025 (Findings), 2025 | 9 | 2025 |
| Generative Interfaces for Language Models J Chen*, Y Zhang*, Y Zhang, Y Shao, D Yang arXiv preprint arXiv:2508.19227, 2025 | 4 | 2025 |
| Searching for Privacy Risks in LLM Agents via Simulation Y Zhang, D Yang arXiv preprint arXiv:2508.10880, 2025 | 2 | 2025 |
| AutoMetrics: Approximate Human Judgements with Automatically Generated Evaluators MJ Ryan, Y Zhang, A Salunkhe, Y Chu, D Xu, D Yang arXiv preprint arXiv:2512.17267, 2025 | | 2025 |
| Real-Time Reasoning Agents in Evolving Environments Y Wen, Y Ye, Y Zhang, D Yang, H Zhu arXiv preprint arXiv:2511.04898, 2025 | | 2025 |
Diyi YangStanford UniversityVerified email at stanford.edu
