| 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 | 601 | 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 | 552 | 2023 |
| MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing K Zhang, L Mo, W Chen, H Sun, Y Su NeurIPS 2023, 2023 | 177 | 2023 |
| 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 | 141 | 2021 |
| 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 | 130* | 2024 |
| 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 | 98 | 2024 |
| 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 | 91 | 2023 |
| Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors K Zhang, BJ Gutiérrez, Y Su Findings of ACL 2023, 2023 | 69 | 2023 |
| Large Language Model Instruction Following: A Survey of Progresses and Challenges R Lou, K Zhang, W Yin Computational Linguistics, 2024 | 68* | 2024 |
| 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 | 56* | 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, ... arXiv preprint arXiv:2409.02813, 2024 | 37 | 2024 |
| Open Hierarchical Relation Extraction K Zhang, Y Yao, R Xie, X Han, Z Liu, F Lin, L Lin, M Sun NAACL 2021, 2021 | 37 | 2021 |
| 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 | 36 | 2025 |
| 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, 2024 | 29 | 2024 |
| 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 | 29 | 2023 |
| UnifieR: A Unified Retriever for Large-Scale Retrieval T Shen, X Geng, C Tao, C Xu, K Zhang, D Jiang KDD 2023, 2023 | 28 | 2023 |
| LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval K Zhang, C Tao, T Shen, C Xu, X Geng, B Jiao, D Jiang WWW 2023 (Oral), 2023 | 24 | 2023 |
| 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 | 23* | 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 | 21 | 2024 |
| Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks W Ma, K Zhang, R Lou, L Wang, S Vosoughi ACL 2021 (Oral), 2021 | 14 | 2021 |
Yu SuDistinguished Assistant Professor, Computer Science and Engineering, Ohio State UniversityVerifierad e-postadress på osu.edu