分析2000-2024年NLP论文，发现超三分之一作者来自产业，存在利益冲突风险。
Conflicts of Interest in Published NLP Research 2000-2024
- 按作者隶属机构分类，统计2000-2024年NLP论文的产业关联比例。
- 2024年超过33%的论文含产业作者，较早期显著上升。
- 顶级会议如ACL、EMNLP是冲突高发地，建议加强透明度管理。
自然语言处理研究日益依赖大规模数据与计算资源。过去十年许多成果源于学术界与科技行业的合作，但学术研究与产业利益的深度交织正引发利益冲突问题。我们评估了2000-2024年间发表的NLP论文，将作者机构标注为学术或产业背景，以衡量潜在利益冲突。总体来看，27.65%的论文至少包含一名产业背景作者；到2024年，该比例超过1/3，表明冲突呈上升趋势。我们识别出顶级会议（ACL、EMNLP）为主要推动因素。文章最后展开讨论，并提出一项具体可行的未来改进建议。
原文摘要 · Abstract (English)
Natural Language Processing research is increasingly reliant on large scale data and computational power. Many achievements in the past decade resulted from collaborations with the tech industry. But an increasing entanglement of academic research and industry interests leads to conflicts of interest. We assessed published NLP research from 2000-2024 and labeled author affiliations as academic or industry-affiliated to measure conflicts of interest. Overall 27.65% of the papers contained at least one industry-affiliated author. That figure increased substantially with more than 1 in 3 papers having a conflict of interest in 2024. We identify top-tier venues (ACL, EMNLP) as main drivers for that effect. The paper closes with a discussion and a simple, concrete suggestion for the future.
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