Chai, Wenhao

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Merrill, M. A., Shaw, A. G., Carlini, N., Li, B., Raj, H., Bercovich, I., Shi, L., Shin, J. Y., Walshe, T., Buchanan, E. K., et al. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 392

MovieChat: From Dense Token to Sparse Memory for Long Video Understanding

Song, E., Chai, W., Wang, G., Zhang, Y., Zhou, H., Wu, F., Chi, H., Guo, X., Ye, T., Zhang, Y., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 176

MovieChat: From Dense Token to Sparse Memory for Long Video Understanding

Song, E., Chai, W., Wang, G., Zhang, Y., Zhou, H., Wu, F., Chi, H., Guo, X., Ye, T., Zhang, Y., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 176

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?

Zheng, Z., Cheng, Z., Shen, Z., Zhou, S., Liu, K., He, H., Li, D., Wei, S., Hao, H., Yao, J., et al. (2025) · arXiv

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 1

MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

Lyu, B., Yang, Y., Huang, S., Zhang, J., Xu, Q., Li, X., Han, X., Zhang, Y., Zhang, H., Huang, R., et al. (2026) · arXiv

Artificial Intelligence ApplicationsMachine Learning and Data Classification

Cited by 0

Learning What to Remember: Test-Time Training via Context Distillation

Wang, Z., Dang, X., Zhu, R.-J., Wen, Z., Fu, H., Chai, W., & Lee, J. D. (2026) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0