Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code von Michaud, Eric J, Liao, Isaac, Lad, Vedang, Liu, Ziming, Mudide, Anish, Loughridge, Chloe, Guo, Zifan Carl, Kheirkhah, Tara Rezaei, Vukelić, Mateja, Tegmark, Max

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Streamlining Physics Problem Generation to Support Physics Teachers in Using Generative Artificial Intelligence von El-Adawy, Shams, Liao, Isaac, Lad, Vedang, Abdelhafez, Mohamed, Dourmashkin, Peter

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Estimating label quality and errors in semantic segmentation data via any model von Lad, Vedang, Mueller, Jonas

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The Remarkable Robustness of LLMs: Stages of Inference? von Lad, Vedang, Gurnee, Wes, Tegmark, Max

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Estimating label quality and errors in semantic segmentation data via any model von Lad, Vedang, Mueller, Jonas

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The Remarkable Robustness of LLMs: Stages of Inference? von Lad, Vedang, Gurnee, Wes, Tegmark, Max

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Opening the AI black box: program synthesis via mechanistic interpretability von Michaud, Eric J, Liao, Isaac, Lad, Vedang, Liu, Ziming, Mudide, Anish, Loughridge, Chloe, Guo, Zifan Carl, Kheirkhah, Tara Rezaei, Vukelić, Mateja, Tegmark, Max

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Opening the AI black box: program synthesis via mechanistic interpretability von Michaud, Eric J, Liao, Isaac, Lad, Vedang, Liu, Ziming, Mudide, Anish, Loughridge, Chloe, Guo, Zifan Carl, Tara Rezaei Kheirkhah, Vukelić, Mateja, Tegmark, Max

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Data Acquisition Using IoT Sensors for Smart Manufacturing Domain von Kamat, Pooja, Shah, Malav, Lad, Vedang, Desai, Priyank, Vikani, Yaj, Savani, Dhruv

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