🔗 Who cites «Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews»

50 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← back to «Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews»

1. Mapping the Increasing Use of LLMs in Scientific PapersarXiv:2404.01268Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.2024 · 89 citations
2. AgentReview: Exploring Peer Review Dynamics with LLM AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Yiqiao Jin, Qinlin Zhao, Yiyang Wang, et al.2024 · 86 citations
3. Detection and Measurement of Syntactic Templates in Generated TextConference on Empirical Methods in Natural Language Processing (EMNLP)Chantal Shaib, Yanai Elazar, Junyi Jessy Li, et al.2024 · 32 citations
4. Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 ExperimentarXiv:2411.03417Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, et al.2024 · 10 citations
5. Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer ReviewsFindings of the Association for Computational LinguisticsSai Suresh Macharla Vasu, Ivaxi Sheth, Hui-Po Wang, et al.2026 · 8 citations
6. AI use in American newspapers is widespread, uneven, and rarely disclosedAnnual Meeting of the Association for Computational Linguistics (ACL)Jenna Russell, Marzena Karpinska, Destiny Akinode, et al.2026 · 7 citations
7. Automatic Reviewers Fail to Detect Faulty Reasoning in Research Papers: A New Counterfactual Evaluation FrameworkTransactions of the Association for Computational Linguistics (TACL)Nils Dycke, Iryna Gurevych2026 · 5 citations
8. Exploring the Structure of AI-Induced Language Change in Scientific EnglisharXiv:2506.21817 · The International FLAIRS Conference Proceedings (Vol. 38), 2025Riley Galpin, Bryce Anderson, Tom S. Juzek2025 · 4 citations
9. AiraXiv: An AI-Driven Open-Access Platform for Human and AI ScientistsAnnual Meeting of the Association for Computational Linguistics (ACL)Junshu Pan, Panzhong Lu, Yixuan Weng, et al.2026 · 1 citation
10. Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the FutureAnnual Meeting of the Association for Computational Linguistics (ACL)Sihong Wu, Owen Jiang, Yilun Zhao, et al.2026 · 1 citation
11. code-transformed: The Influence of Large Language Models on CodeFindings of the Association for Computational LinguisticsYuliang Xu, Siming Huang, Mingmeng Geng, et al.2026
12. From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper EvaluationFindings of the Association for Computational LinguisticsPujun Zheng, Jiacheng Yao, Jinquan Zheng, et al.2026
13. Preference Optimization for Review Question Generation Improves Writing QualityFindings of the Association for Computational LinguisticsKarun Sharma, Vidushee Vats, Shengzhi LI, et al.2026

37 more papers of our library cite it; they have no page here yet.

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