works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.CV2026

One Patch Is Enough: Reinforcement-Optimized Visual Token Grounding for MLLM-Based Scene Text Spotting

Rui Tang, Wentao Yang, Peirong Zhang +4

The paper introduces a vision-centric framework called SPaTS that uses a single visual token per text instance and reinforcement learning to improve scene text spotting accuracy an…

cs.LG2026

OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning

Mingxin Huang, Yongxin Shi, Dezhi Peng +3

Recent advancements in multimodal slow-thinking systems have demonstrated remarkable performance across various visual reasoning tasks. However, their capabilities in text-rich ima…

cs.CV2026

UPOCR: Towards Unified Pixel-Level OCR Interface

Dezhi Peng, Zhenhua Yang, Jiaxin Zhang +5

Existing optical character recognition (OCR) methods rely on task-specific designs with divergent paradigms, architectures, and training strategies, which significantly increases t…

cs.CL2025

URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding

Yongxin Shi, Jiapeng Wang, Zeyu Shan +3

Recent multimodal large language models (MLLMs) still struggle with long document understanding due to two fundamental challenges: information interference from abundant irrelevant…

cs.CV2025

Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration

Yuyi Zhang, Peirong Zhang, Zhenhua Yang +5

Historical documents represent an invaluable cultural heritage, yet have undergone significant degradation over time through tears, water erosion, and oxidation. Existing Historica…

cs.CV2025

MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categories

Yuyi Zhang, Yongxin Shi, Peirong Zhang +3

Foundational to the Chinese language and culture, Chinese characters encompass extraordinarily extensive and ever-expanding categories, with the latest Chinese GB18030-2022 standar…