arxiv
PublishedJune 26, 2026 at 4:00 AM
▲bullish
TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference
Publisher summary· verbatim
arXiv:2606.27161v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have achieved strong multimodal reasoning capabilities, but their efficiency is limited by the large number of visual tokens, which introduces substantial computational overhead. Visual token pruning offers a na
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivMMGist: A Comprehensive Multimodal Benchmark for 20272harxivVisualizing "We the People": Bridging the Perception Gap through Pluralistic Data Storytelling2harxivSmall edits, large models: How Wikipedia advocacy shapes LLM values2harxivNoise-Aware Boundary-Enhanced Generative Learning for Ultrasound Speckle Reduction2hThe Bubble Brief
WEEKLYRead multimodal insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗