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English(EN) ScholaWrite: A Dataset of End-to-End Scholarly Writing Process

新数据集捕捉端到端的学术写作过程

研究人员推出ScholaWrite,一个旨在捕捉完整学术写作过程的新型数据集。该数据集使用一个Chrome扩展程序收集,该程序记录了在Overleaf内的击键操作,记录了从初稿到最终手稿的数月历程,涵盖了五个计算机科学预印本。数据包括超过62,000个文本更改,并深入了解了学术写作中涉及的认知需求和任务切换,突显了当前LLM在此过程中提供协助的局限性。 AI

影响 提供数据以开发更有效的AI写作助手,这些助手能够理解作者的认知过程。

排序理由 该集群描述了一个用于学术写作研究的新数据集,包括一篇论文以及相关数据/代码资源。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新数据集捕捉端到端的学术写作过程

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该集群描述了一个用于学术写作研究的新数据集,包括一篇论文以及相关数据/代码资源。[lever_c_demoted from research: ic=1 ai=0.7]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
108 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Khanh Chi Le, Linghe Wang, Minhwa Lee, Ross Volkov, Luan Tuyen Chau, Dongyeop Kang ·

    ScholaWrite:端到端学术写作过程数据集

    arXiv:2502.02904v5 Announce Type: replace-cross Abstract: Writing is a cognitively demanding activity that requires constant decision-making, heavy reliance on working memory, and frequent shifts between tasks of different goals. To build writing assistants that truly align with …