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arXiv 2610.23987 · cs.CV · 2026-10-14

What Generation Knows: Unlocking Fine-Grained Understanding in Unified Multimodal Models

Tengju Ru, Weitong Lian, Zecong Tang, Zhiheng Liu, Lingyi Meng, Haoran Li, Kaixuan Wang, Bohao Li and 1 more

Affiliation unverified

In latest · #279 Added on 2026-10-24

One-line takeaway

This paper systematically analyzes what generation-side representations in unified multimodal models offer for fine-grained visual understanding, finding them more sensitive to local attributes and spatial relations, and uses native generation-side features directly to strengthen understanding rather than only as auxiliary supervision.

这篇论文系统分析统一多模态模型里“生成侧”表示对细粒度视觉理解的作用,发现它们对局部属性和空间关系更敏感,并直接利用原生生成侧表示来补强理解,而不是只把生成当作辅助监督。

40HF upvotes
29GitHub stars
0Citations (Semantic Scholar)
47.3Buzz score

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About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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