collaborators

15 papers

cs.CV2026

HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better

Gengluo Li, Xingyu Wan, Shangpin Peng +20

We present HunyuanOCR-1.5, a lightweight end-to-end OCR-specialized vision-language model. HunyuanOCR unifies document parsing, text spotting, information extraction, text-image tr…

cs.CV2026

ChartArena: Benchmarking Chart Parsing across Languages, Scenarios, and Formats

Shangpin Peng, Gengluo Li, Xingyu Wan +10

Charts are a primary medium for conveying quantitative and relational information, yet systematically evaluating chart parsing models remains difficult. Existing benchmarks focus o…

cs.CV2026

MORE: A Multilingual Document Parsing Benchmark and Evaluation

Long Xu, Binghong Wu, Tinghao Yu +6

Multilingual documents encapsulate rich regional cultures, scientific discoveries, and historical records. Parsing this content into structured, machine-readable formats is critica…

cs.CV2026

StrucTab: A Structured Optimization Framework for Table Parsing

Gengluo Li, Shangpin Peng, Chengquan Zhang +10

Table parsing aims to convert table images into structured, machine-readable representations, a task requiring the joint perception of complex spatial layouts and textual content.…

cs.CV2026

TextPecker: Rewarding Structural Anomaly Quantification for Enhancing Visual Text Rendering

Hanshen Zhu, Yuliang Liu, Xuecheng Wu +7

Visual Text Rendering (VTR) remains a critical challenge in text-to-image generation, where even advanced models frequently produce text with structural anomalies such as distortio…

cs.CV2026

Dolphin-v2: Universal Document Parsing via Scalable Anchor Prompting

Hao Feng, Wei Shi, Ke Zhang +9

Document parsing has garnered widespread attention as vision-language models (VLMs) advance OCR capabilities. However, the field remains fragmented across dozens of specialized mod…