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AI Edits a Classical Chinese Paper: Multi-Model Stress Test

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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.

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Original publisherZenodo
Canonical URLhttps://zenodo.org/records/20343571
Publication timeFri, 22 May 2026 12:58:05 +0000
Retrieval time2026-05-22T13:07:02.304Z
Last seen2026-05-22T13:07:02.304Z
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Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
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Substitutes article?No — link-out required for full text

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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

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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