AI Edits a Classical Chinese Paper: Multi-Model Stress Test
A recent study explored the effectiveness of AI in editing a classical Chinese academic paper. The research identified several failure modes that existing benchmark frameworks do not capture. Additionally, a new evaluation framework called Academia-Bench was proposed to enhance academic judgment assessment.
- ▪The study focused on revising a bilingual classical Chinese paper to meet international journal standards.
- ▪Four specific sub-tasks were outlined for the AI editing process, including reinforcing arguments and standardizing formatting.
- ▪The research revealed four failure modes, including capability, integrity, completion, and identity contamination failures.
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Published May 22, 2026 | Version 1.0 Preprint Open What Happens When AI Edits a Classical Chinese Academic Paper: What Happens When AI Edits a Classical Chinese Academic Paper / 当AI修改古汉语学术论文时发生了什么 Authors/Creators Chen, Ai1 Claude Sonnet1 ChatGPT1 Claude Opus1 Show affiliations 1. Stardragon AGI Institute for Research Description 本文记录了一次在真实学术工作场景下进行的多模型压力测试。任务是将一篇双语古汉语学术论文(《重读〈狐假虎威〉》)修改至可投国际汉学期刊水准,具体包括四项子任务:加固核心语义论点(补充先秦假等于借用例)、前置摘要核心发现、扩展结论方法论段落、统一Chicago Author-Date格式。 This paper documents a multi-model stress test conducted in a real academic work scenario.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Zenodo.