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VisionWeave: Weaving Elastic Visual Representations as a Native Capability of MLLMs

Yuan Feng, Qize Yang, Ruizhe Chen, Sibo Song, Haolin He, Muzhi Zhu · Oct 6, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 42% Moderate protocol signal Freshness: Hot Status: Ready
Automatic Metrics General
  • Based on Qwen3.8-27B, VisionWeave adaptively adjusts token savings to visual content, saving 43.0% tokens on average while retaining 98.9% native performance across eight benchmarks, versus only 88% performance preserved for token pruning…
  • Extensive evaluations confirm robust efficiency-quality trade-offs across diverse tasks, resolutions and video frames.
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