Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios. - Yilun Zhao 001; Haowei Zhang 002; Shengyun Si; Linyong Nan; Xiangru Tang; Arman Cohan (EMNLP (Industry Track), 2023)

Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers. - Yilun Zhao 001; Haowei Zhang 002; Shengyun Si; Linyong Nan; Xiangru Tang; Arman Cohan (CoRR, 2023)

Visual Question Decomposition on Multimodal Large Language Models. - Haowei Zhang 002; Jianzhe Liu; Zhen Han 003; Shuo Chen 014; Bailan He; Volker Tresp; Zhiqiang Xu; Jindong Gu (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)

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)