Martin Gubri

mgubri
Β·

AI & ML interests

Adversarial Examples, Machine Learning, Information Security, Statistics

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πŸŽ‰ We’re excited to announce, in collaboration with @kaleidophon , the release of the models from our Apricot πŸ‘ paper, "Apricot: Calibrating Large Language Models Using Their Generations Only," accepted at ACL 2024! Reproducibility is essential in science, and we've worked hard to make it as seamless as possible.
parameterlab/apricot-models-673d2cae40b6ff437a86f0bf

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