collaborators

6 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

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.CL2026

What to Format and How: A Benchmark and Workflow Approach for Document Formatting

Shihao Rao, Liang Li, Jiapeng Liu +6

Recent advances in large language models (LLMs) have opened up new possibilities for automated document formatting. However, real-world formatting often requires identifying target…

cs.CL2026

Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring

Weixin Guan, Liang Li, Jiapeng Liu +6

Large Reasoning Language Models (LRLMs) demonstrate impressive capabilities on complex tasks by utilizing long Chain-of-Thought reasoning. However, they are prone to overthinking,…

cs.LG2026

EXaMCaP: Subset Selection with Entropy Gain Maximization for Probing Capability Gains of Large Chart Understanding Training Sets

Jiapeng Liu, Liang Li, Bing Li +5

Recent works focus on synthesizing Chart Understanding (ChartU) training sets to inject advanced chart knowledge into Multimodal Large Language Models (MLLMs), where the sufficienc…