TongGuOCR: A Layout-Aware and Token-Augmented OCR MLLM for Chinese Historical Documents

arXiv:2608.07917 · cs.AI · Submitted 2026-08-11 · Read on arXiv

Zhongheng Zhou, Yi Sun, Huiguo He, Yuyi Zhang, Peirong Zhang, Yulin Fang, Dezhi Peng, Minghui Liao, Lianwen Jin

cs.AI

Submitted: 2026-08-11

Updated: 2026-08-12

Project page: https://jzzh2004.github.io/TongGuOCR

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 15× in this paper · explained in 2 episodes
• Ablation — 12× in this paper · explained in 1 episode
• Alignment — 11× in this paper · explained in 1 episode
• Accuracy — 8× in this paper · explained in 1 episode
• Adaptation — 7× in this paper · explained in 1 episode
• Domain Adaptation — 5× in this paper · explained in 5 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• F1 Score — 4× in this paper · explained in 3 episodes
• Quantization — 4× in this paper · explained in 12 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Pruning — 3× in this paper · explained in 4 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Granularity Mismatch — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Tokenization — 2× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Sparse Attention — 1× in this paper · explained in 5 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes

Sources

• Qwen3-VL Technical Report
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
• DeepSeek-OCR 2: Visual Causal Flow
• MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale
• Qwen3.5-Omni Technical Report
• DeepSeek-OCR: Contexts Optical Compression
• MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
• TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document
• Extending TrOCR for Text Localization-Free OCR of Full-Page Scanned Receipt Images
• PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
• Decoupled Weight Decay Regularization
• NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition

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