ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models. - Zhelun Shi; Zhipin Wang; Hongxing Fan; Zhenfei Yin; Lu Sheng; Yu Qiao 001; Jing Shao (CoRR, 2023)

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities. - Chaochao Lu; Chen Qian 006; Guodong Zheng; Hongxing Fan; Hongzhi Gao; Jie Zhang 074; Jing Shao; Jingyi Deng; Jinlan Fu; Kexin Huang; Kunchang Li 002; Lijun Li; et al. (CoRR, 2024)

Assessment of Multimodal Large Language Models in Alignment with Human Values. - Zhelun Shi; Zhipin Wang; Hongxing Fan; Zaibin Zhang; Lijun Li; Yongting Zhang; Zhenfei Yin; Lu Sheng; Yu Qiao 001; Jing Shao (CoRR, 2024)

DeepSeek vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization? - Daniil Larionov; Sotaro Takeshita; Ran Zhang; Yanran Chen; Christoph Leiter; Zhipin Wang; Christian Greisinger; Steffen Eger (CoRR, 2025)

LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models. - Aida Kostikova; Zhipin Wang; Deidamea Bajri; Ole Pütz; Benjamin Paaßen; Steffen Eger (CoRR, 2025)