Zheng, Boyuan

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Yue, X., Ni, Y., Zheng, T., Zhang, K., Liu, R., Zhang, G., Stevens, S., Jiang, D., Ren, W., Sun, Y., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 429

Mind2Web: Towards a Generalist Agent for the Web

Deng, X., Gu, Y., Zheng, B., Chen, S., Stevens, S., Wang, B., Sun, H., & Su, Y. (2023) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 134

OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks

Yuan, M., Zhou, Z., Xiong, X., Wu, W., Sun, J., Song, J., Cui, K., Wang, B., Wu, H., Li, Y., et al. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

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GPT-4V(ision) is a Generalist Web Agent, if Grounded

Zheng, B., Gou, B., Kil, J., Sun, H., & Su, Y. (2024) · arXiv

Multimodal Machine Learning ApplicationsWeb Data Mining and Analysis

Cited by 10

Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents

Gou, B., Wang, R., Zheng, B., Xie, Y., Chang, C., Shu, Y., Sun, H., & Su, Y. (2024) · arXiv

Multimodal Machine Learning ApplicationsInformation Retrieval and Search Behavior

Cited by 3