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cs.CV2026
EvoComp: Learning Visual Token Compression for Multimodal Large Language Models via Semantic-Guided Evolutionary Labeling
Jiafei Song, Fengwei Zhou, Jin Qu +7
Recent Multimodal Large Language Models (MLLMs) have demonstrated strong performance on vision-language understanding tasks, yet their inference efficiency is often hampered by the…
cs.CV2026
GLIMPSE : Real-Time Text Recognition and Contextual Understanding for VQA in Wearables
Akhil Ramachandran, Ankit Arun, Ashish Shenoy +8
Video Large Language Models (Video LLMs) have shown remarkable progress in understanding and reasoning about visual content, particularly in tasks involving text recognition and te…