🔗 Who cites «Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review»

26 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 «Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review»

1. DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking ProcessAnnual Meeting of the Association for Computational Linguistics (ACL)Minjun Zhu, Yixuan Weng, Linyi Yang, et al.2025 · 52 citations
2. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
3. MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning ResearchConference on Neural Information Processing Systems (NeurIPS)Hui Chen, Miao Xiong, Yujie Lu, et al.2025 · 21 citations
4. Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM ReviewsConference on Empirical Methods in Natural Language Processing (EMNLP)Hyungyu Shin, Jingyu Tang, Yoonjoo Lee, et al.2025 · 14 citations
5. Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer RewardsarXiv:2505.04966Jaeho Kim, Yunseok Lee, Seulki Lee2025 · 13 citations
6. Evaluating Sakana's AI Scientist: Bold Claims, Mixed Results, and a Promising Future?arXiv:2502.14297 · SIGIR Forum 2025Joeran Beel, Min-Yen Kan, Moritz Baumgart2025 · 11 citations
7. 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
8. Hidden Prompts in Manuscripts Exploit AI-Assisted Peer ReviewCommunications of the ACMZhicheng Lin2025 · 7 citations
9. Reviewing Scientific Papers for Critical Problems With Reasoning LLMs: Baseline Approaches and Automatic EvaluationarXiv:2505.23824Tianmai M. Zhang, Neil F. Abernethy2025 · 7 citations
10. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
11. "Give a Positive Review Only": An Early Investigation Into In-Paper Prompt Injection Attacks and Defenses for AI ReviewersarXiv:2511.01287Qin Zhou, Zhexin Zhang, Zhi Li, et al.2025 · 2 citations
12. 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
13. Implicit Bias in Peer Review: Through the Lens of Language AbstractionLanguage Resources and Evaluation Conference (LREC)Xulang Zhang, Rui Mao, Erik Cambria2026

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

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