Who cites «The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates»
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
- 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
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