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Liang Zhao

4 papers hereh-index 13738 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI1
same name
  • Liang Zhao — 28 papers
  • Liang Zhao — 26 papers
  • Liang Zhao — 17 papers, h 27
  • Liang Zhao — 11 papers, h 75
  • Liang Zhao — 8 papers
  • Liang Zhao — 8 papers, h 25

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedGeneral OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

6 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Unhackable Temporal Rewarding for Scalable Video MLLMs

En Yu, Kangheng Lin, Liang Zhao +8

In the pursuit of superior video-processing MLLMs, we have encountered a perplexing paradox: the "anti-scaling law", where more data and larger models lead to worse performance. Th…

cs.AI2025

PerPO: Perceptual Preference Optimization via Discriminative Rewarding

Zining Zhu, Liang Zhao, Kangheng Lin +7

This paper presents Perceptual Preference Optimization (PerPO), a perception alignment method aimed at addressing the visual discrimination challenges in generative pre-trained mul…

cs.CV2025

Slow Perception: Let's Perceive Geometric Figures Step-by-step

Haoran Wei, Youyang Yin, Yumeng Li +6

Recently, "visual o1" began to enter people's vision, with expectations that this slow-thinking design can solve visual reasoning tasks, especially geometric math problems. However…

cs.CV2024★ 6 cited

General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

Haoran Wei, Chenglong Liu, Jinyue Chen +9

Traditional OCR systems (OCR-1.0) are increasingly unable to meet people's usage due to the growing demand for intelligent processing of man-made optical characters. In this paper,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.