🔗 Who cites «What Can Natural Language Processing Do for Peer Review?»

28 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · ← back to «What Can Natural Language Processing Do for Peer Review?»

1. LLM4SR: A Survey on Large Language Models for Scientific ResearcharXiv:2501.04306Ziming Luo, Zonglin Yang, Zexin Xu, et al.2025 · 39 citations
2. AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic ReviewsarXiv:2408.10365Keith Tyser, Ben Segev, Gaston Longhitano, et al.2024 · 34 citations
3. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
4. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
5. Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025arXiv:2504.09737Nitya Thakkar, Mert Yuksekgonul, Jake Silberg, et al.2025 · 21 citations
6. Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer RewardsarXiv:2505.04966Jaeho Kim, Yunseok Lee, Seulki Lee2025 · 13 citations
7. Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer ReviewarXiv:2410.03019Sungduk Yu, Man Luo, Avinash Madasu, et al.2024 · 11 citations
8. 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
9. 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
10. Reviewing Scientific Papers for Critical Problems With Reasoning LLMs: Baseline Approaches and Automatic EvaluationarXiv:2505.23824Tianmai M. Zhang, Neil F. Abernethy2025 · 7 citations
11. 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
12. NovBench: Evaluating Large Language Models on Academic Paper Novelty AssessmentFindings of the Association for Computational LinguisticsWenqing Wu, Yi Zhao, Yuzhuo Wang, et al.2026 · 4 citations
13. Author-in-the-Loop Response Generation and Evaluation: Integrating Author Expertise and Intent in Responses to Peer ReviewAnnual Meeting of the Association for Computational Linguistics (ACL)Qian Ruan, Iryna Gurevych2026 · 2 citations
14. Decision-Making with Deliberation: Meta-reviewing as a Document-grounded DialogueConference of the European Chapter of the Association for Computational Linguistics (EACL)Sukannya Purkayastha, Nils Dycke, Anne Lauscher, et al.2026 · 2 citations
15. Implicit Bias in Peer Review: Through the Lens of Language AbstractionLanguage Resources and Evaluation Conference (LREC)Xulang Zhang, Rui Mao, Erik Cambria2026
16. The Double Bind: Revisiting Preprinting and Peer Review Two Years After the Removal of the ACL Anonymity PeriodFindings of the Association for Computational LinguisticsA Pranav, Shane Storks, Anne Lauscher2026

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/kuznetsov-2024-natural-language-processing-peer/cited-by/