M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models. - Chuhan Li; Ziyao Shangguan; Yilun Zhao 001; Deyuan Li; Yixin Liu 003; Arman Cohan (EMNLP (Findings), 2024)

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding. - Yilun Zhao 001; Haowei Zhang 002; Lujing Xie; Tongyan Hu; Guo Gan; Yitao Long; Zhiyuan Hu; Weiyuan Chen; Chuhan Li; Zhijian Xu; Chengye Wang; Ziyao Shangguan; et al. (CVPR, 2025)

TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models. - Ziyao Shangguan; Chuhan Li; Yuxuan Ding; Yanan Zheng; Yilun Zhao 001; Tesca Fitzgerald; Arman Cohan (ICLR, 2025)

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding. - Yilun Zhao 001; Lujing Xie; Haowei Zhang 002; Guo Gan; Yitao Long; Zhiyuan Hu; Tongyan Hu; Weiyuan Chen; Chuhan Li; Junyang Song; Zhijian Xu; Chengye Wang; et al. (CoRR, 2025)