Author

Haoyu Lu

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Preprint Sep 2026

Resolution as a First-Class Decision: Task-Conditioned Routing for Efficient Multimodal Large Language Models

The inference efficiency of Multimodal Large Language Models (MLLMs) is severely constrained by massive visual token sequences induced by high-resolution inputs, with computational cost scaling quadratically. Existing approaches primarily focus on downstream token compression, while overlooking a fundamental upstream i...

Zhi-Qiang Xia, Yang Li, Xin-Yuan Zhang et al. · 0 citations

Jul 2026

PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models

PerceptionBench provides a capability-level standard for measuring and diagnosing the visual perception boundaries of MLLMs, by diagnosing the earliest failure points in the responses of frontier MLLMs across 42 existing benchmarks and constructing an error taxonomy whose perception branch defines ten atomic perceptual...

Zichao Lin, Yifeng Xie, Bowen Qu et al. · arXiv.org · 2 citations