| MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI X Yue*, Y Ni*, K Zhang*, T Zheng*, R Liu, G Zhang, S Stevens, D Jiang, ... CVPR 2024 (𝐁𝐞𝐬𝐭 𝐏𝐚𝐩𝐞𝐫 𝐅𝐢𝐧𝐚𝐥𝐢𝐬𝐭), 2024 | 1757 | 2024 |
| ChatDoctor: A Medical Chat Model Fine-Tuned on A Large Language Model Using Medical Domain Knowledge Y Li, Z Li, K Zhang, R Dan, S Jiang, Y Zhang Cureus 15 (6), 2023 | 992* | 2023 |
| MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing K Zhang, L Mo, W Chen, H Sun, Y Su NeurIPS 2023, 2023 | 460 | 2023 |
| TravelPlanner: A Benchmark for Real-world Planning with Language Agents J Xie*, K Zhang*, J Chen, T Zhu, R Lou, Y Tian, Y Xiao, Y Su ICML 2024 (𝐒𝐩𝐨𝐭𝐥𝐢𝐠𝐡𝐭), 2024 | 309 | 2024 |
| Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts J Xie*, K Zhang*, J Chen, R Lou, Y Su ICLR 2024 (𝐒𝐩𝐨𝐭𝐥𝐢𝐠𝐡𝐭), 2024 | 263* | 2024 |
| MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark X Yue, T Zheng, Y Ni, Y Wang, K Zhang, S Tong, Y Sun, B Yu, G Zhang, ... ACL 2025, 2025 | 244 | 2025 |
| RpBERT: A Text-Image Relation Propagation-based BERT Model for Multimodal NER L Sun, J Wang, K Zhang, Y Su, F Weng AAAI 2021, 2021 | 205 | 2021 |
| Automatic Evaluation of Attribution by Large Language Models X Yue, B Wang, Z Chen, K Zhang, Y Su, H Sun Findings of EMNLP 2023, 2023 | 142 | 2023 |
| Large Language Model Instruction Following: A Survey of Progresses and Challenges R Lou, K Zhang, W Yin Computational Linguistics, 2024 | 135* | 2024 |
| Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors K Zhang, BJ Gutiérrez, Y Su Findings of ACL 2023, 2023 | 131 | 2023 |
| MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding F Wang, X Fu, JY Huang, Z Li, Q Liu, X Liu, MD Ma, N Xu, W Zhou, ... ICLR 2025, 2025 | 121 | 2025 |
| PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of Pathology Y Sun, C Zhu, S Zheng, K Zhang, Z Shui, X Yu, Y Zhao, H Li, Y Zhang, ... AAAI 2024 (𝐎𝐫𝐚𝐥), 2024 | 121* | 2024 |
| How Easily do Irrelevant Inputs Skew the Responses of Large Language Models? S Wu, J Xie, J Chen, T Zhu, K Zhang, Y Xiao COLM 2024; KnowledgeNLP@ACL 2024 (𝐎𝐫𝐚𝐥), 2024 | 87 | 2024 |
| MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions K Zhang, Y Luan, H Hu, K Lee, S Qiao, W Chen, Y Su, MW Chang ICML 2024 (𝐎𝐫𝐚𝐥), 2024 | 79 | 2024 |
| Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents Y Gu*, K Zhang*, Y Ning*, B Zheng*, B Gou, T Xue, C Chang, ... TMLR 2025, 2025 | 67* | 2025 |
| ImagenHub: Standardizing the Evaluation of Conditional Image Generation Models M Ku, T Li, K Zhang, Y Lu, X Fu, W Zhuang, W Chen ICLR 2024, 2023 | 60 | 2023 |
| TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models M Cai, R Tan, J Zhang, B Zou, K Zhang, F Yao, F Zhu, J Gu, Y Zhong, ... arXiv preprint arXiv:2410.10818, 2024 | 44 | 2024 |
| PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology Y Sun, H Wu, C Zhu, S Zheng, Q Chen, K Zhang, Y Zhang, X Lan, ... ECCV 2024 (𝐁𝐞𝐬𝐭 𝐏𝐚𝐩𝐞𝐫 𝐅𝐢𝐧𝐚𝐥𝐢𝐬𝐭), 2024 | 44* | 2024 |
| Open Hierarchical Relation Extraction K Zhang, Y Yao, R Xie, X Han, Z Liu, F Lin, L Lin, M Sun NAACL 2021, 2021 | 42 | 2021 |
| MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following R Lou, K Zhang, J Xie, Y Sun, J Ahn, H Xu, Y Su, W Yin ICLR 2024, 2024 | 37* | 2024 |
Yu SuAssociate Professor and Innovation Scholar, Ohio State UniversityVerified email at osu.edu
