Zheng, Tianyu

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Yue, X., Zheng, T., Ni, Y., Wang, Y., Zhang, K., Tong, S., Sun, Y., Yu, B., Zhang, G., Sun, H., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 4

Karpa: A training-free method of adapting knowledge graph as references for large language model's reasoning path aggregation

Fang, S., Ma, K., Zheng, T., Du, X., Lu, N., Zhang, G., & Tang, Q. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Advanced Graph Neural NetworksTopic Modeling

Cited by 3

GIEBench: Towards Holistic Evaluation of Group Identity-based Empathy for Large Language Models

Wang, L., Jin, Y., Shen, T., Zheng, T., Du, X., Zhang, C., Huang, W., Liu, J., Wang, S., Zhang, G., et al. (2024) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 1

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models

Guo, J., Li, Z., Liu, X., Ma, K., Zheng, T., Yu, Z., Pan, D., LI, Y., Liu, R., Wang, Y., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 1