Papers citing 'Towards High-Order Mean Flow Generative Models: Feasibility, Expressivity, and Provably Efficient Criteria'

Title
Fundamental Limits of Crystalline Equivariant Graph Neural Networks: A Circuit Complexity Perspective Yang Cao Zhao Song Jiahao Zhang Jiale Zhao 52 0 0 07 Oct 2025
Your Vision-Language Model Can't Even Count to 20: Exposing the Failures of VLMs in Compositional Counting Xuyang Guo Zekai Huang Zhenmei Shi Zhao Song Jiahao Zhang CoGe VLM 126 0 0 06 Oct 2025
OAT-FM: Optimal Acceleration Transport for Improved Flow Matching Angxiao Yue Anqi Dong Hongteng Xu OT 44 0 0 29 Sep 2025
Too Easily Fooled? Prompt Injection Breaks LLMs on Frustratingly Simple Multiple-Choice Questions Xuyang Guo Zekai Huang Zhao Song Jiahao Zhang LRM 44 3 0 16 Aug 2025