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On the limits of language generation: Trade-offs between hallucination and mode collapse
Specifying all desirable properties of a language model is challenging, but certain
requirements seem essential. Given samples from an unknown language, the trained model …
requirements seem essential. Given samples from an unknown language, the trained model …
[PDF][PDF] Advances in Robust Statistical Learning Theory
I Attias - 2024 - tau.ac.il
Abstract Machine learning techniques were initially designed for stationary and benign
environments, where the training and test data are assumed to be generated from the same …
environments, where the training and test data are assumed to be generated from the same …
Universal Rates for Active Learning
In this work we study the problem of actively learning binary classifiers from a given concept
class, ie, learning by utilizing unlabeled data and submitting targeted queries about their …
class, ie, learning by utilizing unlabeled data and submitting targeted queries about their …