Improving on the Adrogué-Madias Formula von Chen, Sheldon, Shieh, Michael, Chiaramonte, Robert, Shey, Jason

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Contrast-Enhanced Magnetic Resonance Imaging Based T1 Mapping and Extracellular Volume Fractions Are Associated with Peripheral Artery Disease von Fitian, Asem I, Shieh, Michael C, Gimnich, Olga A, Belousova, Tatiana, Taylor, Addison A, Ballantyne, Christie M, Bismuth, Jean, Shah, Dipan J, Brunner, Gerd

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Influence of Cumulative Risk Priming on Security Update Decision Making von Shieh, Michael, Rajivan, Prashanth

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Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models von Liu, Hongfu, Xie, Yuxi, Wang, Ye, Shieh, Michael

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Self-Evaluation as a Defense Against Adversarial Attacks on LLMs von Brown, Hannah, Lin, Leon, Kawaguchi, Kenji, Shieh, Michael

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Single Character Perturbations Break LLM Alignment von Lin, Leon, Brown, Hannah, Kawaguchi, Kenji, Shieh, Michael

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CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases von Liu, Xiangyan, Lan, Bo, Hu, Zhiyuan, Liu, Yang, Zhang, Zhicheng, Wang, Fei, Shieh, Michael, Zhou, Wenmeng

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Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning von Xie, Yuxi, Goyal, Anirudh, Zheng, Wenyue, Kan, Min-Yen, Lillicrap, Timothy P, Kawaguchi, Kenji, Shieh, Michael

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Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling von Zhao, Yiran, Zheng, Wenyue, Cai, Tianle, Do, Xuan Long, Kawaguchi, Kenji, Goyal, Anirudh, Shieh, Michael

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Reasoning Robustness of LLMs to Adversarial Typographical Errors von Gan, Esther, Zhao, Yiran, Cheng, Liying, Mao, Yancan, Goyal, Anirudh, Kawaguchi, Kenji, Kan, Min-Yen, Shieh, Michael

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MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures von Ni, Jinjie, Song, Yifan, Ghosal, Deepanway, Li, Bo, Zhang, David Junhao, Yue, Xiang, Xue, Fuzhao, Zheng, Zian, Zhang, Kaichen, Shah, Mahir, Jain, Kabir, You, Yang, Shieh, Michael

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Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models von Liu, Hongfu, Xie, Yuxi, Wang, Ye, Shieh, Michael

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Self-Evaluation as a Defense Against Adversarial Attacks on LLMs von Brown, Hannah, Lin, Leon, Kawaguchi, Kenji, Shieh, Michael

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Single Character Perturbations Break LLM Alignment von Lin, Leon, Brown, Hannah, Kawaguchi, Kenji, Shieh, Michael

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Prompt Optimization via Adversarial In-Context Learning von Do, Xuan Long, Zhao, Yiran, Brown, Hannah, Xie, Yuxi, Zhao, James Xu, Chen, Nancy F, Kawaguchi, Kenji, Shieh, Michael, He, Junxian

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Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling von Zhao, Yiran, Zheng, Wenyue, Cai, Tianle, Long, Xuan, Kawaguchi, Kenji, Goyal, Anirudh, Shieh, Michael

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CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases von Liu, Xiangyan, Lan, Bo, Hu, Zhiyuan, Liu, Yang, Zhang, Zhicheng, Wang, Fei, Shieh, Michael, Zhou, Wenmeng

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Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning von Xie, Yuxi, Goyal, Anirudh, Zheng, Wenyue, Min-Yen, Kan, Lillicrap, Timothy P, Kawaguchi, Kenji, Shieh, Michael

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Reasoning Robustness of LLMs to Adversarial Typographical Errors von Gan, Esther, Zhao, Yiran, Cheng, Liying, Mao, Yancan, Goyal, Anirudh, Kawaguchi, Kenji, Min-Yen, Kan, Shieh, Michael

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Prompt Optimization via Adversarial In-Context Learning von Long, Xuan, Zhao, Yiran, Brown, Hannah, Xie, Yuxi, James Xu Zhao, Chen, Nancy F, Kawaguchi, Kenji, Shieh, Michael, He, Junxian

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