mlsanityData to 14 Oct 2026

AncientBench: Towards Comprehensive Evaluation on Excavated and Transmitted Chinese Corpora

arXiv 2512.17756 ↗First posted 19 Dec 2025cs.CL cs.AIcited by 1

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Abstract (arXiv)

Comprehension of ancient texts plays an important role in archaeology and understanding of Chinese history and civilization. The rapid development of large language models needs benchmarks that can evaluate their comprehension of ancient characters. Existing Chinese benchmarks are mostly targeted at modern Chinese and transmitted documents in ancient Chinese, but the part of excavated documents in ancient Chinese is not covered. To meet this need, we propose the AncientBench, which aims to evaluate the comprehension of ancient characters, especially in the scenario of excavated documents. The AncientBench is divided into four dimensions, which correspond to the four competencies of ancient character comprehension: glyph comprehension, pronunciation comprehension, meaning comprehension, and contextual comprehension. The benchmark also contains ten tasks, including radical, phonetic radical, homophone, cloze, translation, and more, providing a comprehensive framework for evaluation. We convened archaeological researchers to conduct experimental evaluations, proposed an ancient model as baseline, and conducted extensive experiments on the currently best-performing large language models. The experimental results reveal the great potential of large language models in ancient textual scenarios as well as the gap with humans. Our research aims to promote the development and application of large language models in the field of archaeology and ancient Chinese language.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 13 of its 27 references that are in the map. First posted on arXiv 19 Dec 2025.

Builds on

13 of 27 references.

References · 13

  1. 2021Measuring Mathematical Problem Solving With the MATH Datasetcited by 5,371
  2. 2024ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Toolscited by 1,121
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  7. 2023M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Modelscited by 30
  8. 2021CUGE: A Chinese Language Understanding and Generation Evaluation Benchmarkcited by 16
  9. 2022CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoisingcited by 16
  10. 2021CCPM: A Chinese Classical Poetry Matching Datasetcited by 15
  11. 2022RZCR: Zero-shot Character Recognition via Radical-based Reasoningcited by 12
  12. 2022RCRN: Real-world Character Image Restoration Network via Skeleton Extractioncited by 12
1 more
  1. 2023Toward Zero-shot Character Recognition: A Gold Standard Dataset with Radical-level Annotationscited by 10

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Citing papers per year: 2026: 1.

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