It seems like you’re now putting most of your hope on training a deception checker end-to-end, but that seems highly non-trivial to me. Can you talk about how you hope to do that? For example what training data would you use and why do you think the deception checker will be able to correctly generalize from the training examples to the real models that the it will be applied to?
It seems like you’re now putting most of your hope on training a deception checker end-to-end, but that seems highly non-trivial to me. Can you talk about how you hope to do that? For example what training data would you use and why do you think the deception checker will be able to correctly generalize from the training examples to the real models that the it will be applied to?