The scholarly exegesis of ancient Chinese characters demands integrating visual observation, linguistic analysis, and historical context. However, existing computational approaches focus narrowly on subtasks such as character recognition and retrieval, lacking the structured datasets and benchmarks required for compreh...
Ran Li, Huiguo He, Jiahuan Cao et al.· 0 citations
TongGuOCR is proposed, a layout-aware and token-augmented multimodal large language model (MLLM) for OCR of Chinese historical documents that outperforms representative traditional task-specific OCR models, general-purpose MLLMs, and OCR-oriented MLLMs.
Zhongheng Zhou, Yi Sun, Huiguo He et al.· 0 citations
This work proposes Single-Patch Text Spotting (SPaTS), a vision-centric framework that routes each text instance through a single anchor visual token and then recovers geometry via full-image refinement and introduces Single-Patch Selective Optimization (SPaSO), a reinforcement learning framework that optimizes discret...