2026
VisionTrim: Unified Vision Token Compression for Training-Free MLLM Acceleration
ICLR 2026poster
Multimodal large language models (MLLMs) suffer from high computational costs due to excessive visual tokens, particularly in high-resolution and video-based scenarios. Existing token reduction methods typically focus on isolated pipeline components and often neglect textual alignment, leading to pe…