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Xuan Qu

1 accepted papers

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…

Cited by 0SourcecodeScholar