Aspect-Guided Multi-Level Perturbation Analysis of Large Language Models in Automated Peer Review

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Can large language models provide useful feedback on research papers? a large-scale empirical analysis

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Llm evaluators recognize and favor their own generations

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Gemini: A family of highly capable multimodal models

Original

Gemini Team, Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul R. 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Ai-driven review systems: Evaluating llms in scalable and bias-aware academic reviews

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Keith Tyser, Ben Segev, Gaston Longhitano, Xin-Yu Zhang, Zachary Meeks, Jason Lee, Uday Garg, Nicholas Belsten, Avi Shporer, Madeleine Udell, et al. 2024 · 2024

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Are we there yet? revealing the risks of utilizing large language models in scholarly peer review

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Rui Ye, Xianghe Pang, Jingyi Chai, Jiaao Chen, Zhenfei Yin, Zhen Xiang, Xiaowen Dong, Jing Shao, and Siheng Chen. 2024 · 2024

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Automated peer reviewing in paper sea: Standardization, evaluation, and analysis

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How johnny can persuade llms to jailbreak them: Rethinking persuasion to challenge ai safety by humanizing llms

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Yi Zeng, Hongpeng Lin, Jingwen Zhang, Diyi Yang, Ruoxi Jia, and Weiyan Shi. 2024 · 2024

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