我宁愿退出NLP也不愿再读这样的论文：NLP论文中对立修辞的兴起
I would rather quit NLP than read another paper like this: The rise of antithesis in NLP papers
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中文总结 AI 辅助
研究NLP论文中对立修辞（rather than）的兴起，发现2026年使用率是2019年的七倍且令审稿人厌烦，推测为成对偏好后训练的副作用。
中文摘要 AI 辅助
无论好坏，LLM如今已被常规用于科学写作。\footnote{本文也不例外；我们确实使用了AI协助撰写部分章节（见致谢）。}许多人注意到，最近的模型用不必要的对立修辞填充论文，反复陈述工作不做什么，这种方式无助于提升表述的精确性或质量，反而惹恼审稿人，而非给他们留下深刻印象。我们研究了ACL 2019年论文、2026年ACL风格arXiv论文以及由GPT模型基于相同标题和摘要撰写的论文中“rather than”这一构式的使用情况。其使用率在2026年是2019年的七倍，在GPT生成的论文中更高。两位对来源不知情的标注者几乎未发现2019年的使用令人厌烦，而2026年的使用中约有十分之一令他们厌烦；他们很少对哪些使用令人厌烦达成一致，但2026年的论文中约有一半包含令他们各自厌烦的使用。令人厌烦的使用对被拒绝的替代选项的呈现不如合法使用有利。偏好数据的评分者和开放奖励模型偏爱这一构式，而诚实指令则促进其使用。我们推测这是基于成对偏好的后训练产生的副作用，这种训练在单个响应中认可否认，却无法在整篇文本中衡量其代价。
英文摘要
For better or worse, LLMs are by now used routinely for scientific writing.\footnote{This paper is no exception; we did use AI to assist with writing some of the sections (see Acknowledgments).} Many have noticed that recent models fill papers with unnecessary antithesis, stating over and over what the work does not do, in ways that do not contribute to its precision or quality of expression and annoy reviewers \emph{rather than impressing them}. We study the construction \emph{rather than} in ACL papers from 2019, ACL-style arXiv papers from 2026, and papers written by GPT models from the same titles and abstracts. Its rate in 2026 is seven times the 2019 rate, and higher still in the GPT papers. Two annotators, blind to the source, find almost no 2019 use \emph{annoying} and about one in ten 2026 uses; they seldom agree on which, yet about half of 2026 papers contain a use that annoys each of them. \emph{Annoying} uses present the rejected alternative less favorably than legitimate uses. Raters of preference data and open reward models favor the construction, and an instruction to be honest promotes it. We conjecture that it is a side effect of post-training on pairwise preferences, which credit a disavowal in a single response and cannot register its cost across a text.
发表机构
- Universidade da Coruña（科鲁尼亚大学）
- CITIC（CITIC研究中心）
机构由 AI 辅助整理，请以论文原文为准。
