Chronicles-OCR: A Cross-Temporal Perception Benchmark for the Evolutionary Trajectory of Chinese Characters
Vision Large Language Models (VLLMs) have achieved remarkable success in modern text-rich visual understanding. However, their perceptual robustness in the face of the continuous morphological evolution of historical writing systems remains largely unexplored. Existing ancient text datasets typically focus on isolated historical periods, failing to capture the systematic visual distribution shifts spanning thousands of years. To bridge this gap and empower Digital Humanities, we introduce Chronicles-OCR, the first comprehensive benchmark specifically designed to evaluate the cross-temporal visual perception capabilities of VLLMs across the complete evolutionary trajectory of Chinese chara...
| Authors | Gengluo Li, Shangpin Peng, Xingyu Wan et al. |
|---|---|
| Primary category | cs.CV |
| Published | 12 May 2026 |
| Last updated at source | 28 September 2026 |
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- jinichol/Chronicles-OCRDataset · cited by
- VirtualLUO/Chronicles-OCRDataset · cited by
Models and datasets referencing this paper
- VirtualLUO/Chronicles-OCRDataset
- jinichol/Chronicles-OCRDataset
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