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cs.AI2026
Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding
Yinghui Li, Jiayi Kuang, Peng Xing +11
Multimodal large language models (MLLMs) perform strongly on natural images, yet their ability to understand discrete visual symbols remains unclear. We present a multi-domain benc…
cs.AI2023
Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation
Houcheng Su, Daixian Liu, Mengzhu Wang +1
Fully test-time adaptation (FTTA) adapts a model that is trained on a source domain to a target domain during the testing phase, where the two domains follow different distribution…