🧑‍🔬 Who cites Koen Dercksen

74 citations of their works from 74 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← Koen Dercksen

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. Survey on English Entity Linking on WikidataarXiv:2112.01989Cedric Möller, Jens Lehmann, Ricardo Usbeck2021 · 10 citations
10. 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
11. Reviewing Scientific Papers for Critical Problems With Reasoning LLMs: Baseline Approaches and Automatic EvaluationarXiv:2505.23824Tianmai M. Zhang, Neil F. Abernethy2025 · 7 citations
12. 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
13. 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
14. 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
15. 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
16. ANCHOR: LLM-driven Subject Conditioning for Text-to-Image SynthesisFindings of the Association for Computational LinguisticsAashish Anantha Ramakrishnan, Sharon X Huang, Dongwon Lee2026
17. Implicit Bias in Peer Review: Through the Lens of Language AbstractionLanguage Resources and Evaluation Conference (LREC)Xulang Zhang, Rui Mao, Erik Cambria2026
18. 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

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