Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems. - Jun Zhao 019; Jingqi Tong; Yurong Mou; Ming Zhang 030; Qi Zhang 001; Xuanjing Huang 001 (EMNLP, 2024)

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)

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning. - Jun Zhao 019; Jingqi Tong; Yurong Mou; Ming Zhang 030; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2024)

RMB: Comprehensively benchmarking reward models in LLM alignment. - Enyu Zhou; Guodong Zheng; Binghai Wang; Zhiheng Xi; Shihan Dou; Rong Bao; Wei Shen; Limao Xiong; Jessica Fan; Yurong Mou; Rui Zheng; Tao Gui; et al. (ICLR, 2025)

Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning. - Jingqi Tong; Jixin Tang; Hangcheng Li; Yurong Mou; Ming Zhang 030; Jun Zhao 019; Yanbo Wen; Fan Song; Jiahao Zhan; Yuyang Lu; Chaoran Tao; Zhiyuan Guo; et al. (CoRR, 2025)