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Who cites «The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates»

17 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates»

  1. Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer ReviewarXiv:2412.01708Rui Ye, Xianghe Pang, Jingyi Chai, et al.2024 · 35 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. ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research CodeConference on Neural Information Processing Systems (NeurIPS)Tianyu Hua; Harper Hua; Violet Xiang; Benjamin Klieger; Sang T. Truong; Weixin Liang; Fan-Yun Sun;, Nick Haber2025 · 16 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. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations

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

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