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cs.CV2026
ConvCue: Complementary Visual Inductive Biases for Vision-Language Models
Zixuan Lan, Shichu Sun
Modern vision-language models (VLMs) achieve strong performance across a broad range of multimodal tasks, yet still struggle with visual questions that require fine-grained discrim…
cs.AI2026
PReD: An LLM-based Foundation Multimodal Model for Electromagnetic Perception, Recognition, and Decision
Zehua Han, Jing Xiao, Yiqi Duan +13
Multimodal Large Language Models have demonstrated powerful cross-modal understanding and reasoning capabilities in general domains. However, in the electromagnetic (EM) domain, th…