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Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code
by
Michaud, Eric J
,
Liao, Isaac
,
Lad, Vedang
,
Liu, Ziming
,
Mudide, Anish
,
Loughridge, Chloe
,
Guo, Zifan Carl
,
Kheirkhah, Tara Rezaei
,
Vukelić, Mateja
,
Tegmark, Max
Published in
Entropy (Basel, Switzerland)
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Streamlining Physics Problem Generation to Support Physics Teachers in Using Generative Artificial Intelligence
by
El-Adawy, Shams
,
Liao, Isaac
,
Lad, Vedang
,
Abdelhafez, Mohamed
,
Dourmashkin, Peter
Published in
The Physics teacher
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Estimating label quality and errors in semantic segmentation data via any model
by
Lad, Vedang
,
Mueller, Jonas
Published in
arXiv.org
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The Remarkable Robustness of LLMs: Stages of Inference?
by
Lad, Vedang
,
Gurnee, Wes
,
Tegmark, Max
Published in
arXiv.org
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Opening the AI black box: program synthesis via mechanistic interpretability
by
Michaud, Eric J
,
Liao, Isaac
,
Lad, Vedang
,
Liu, Ziming
,
Mudide, Anish
,
Loughridge, Chloe
,
Guo, Zifan Carl
,
Tara Rezaei Kheirkhah
,
Vukelić, Mateja
,
Tegmark, Max
Published in
arXiv.org
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