2026
DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference
CVPR 2026
Vision-language models (VLMs) have achieved remarkable multimodal understanding and reasoning capabilities, yet remain computationally expensive due to dense visual tokenization. Existing efficiency approaches either merge redundant visual tokens or drop them progressively in language backbone, ofte