On the limits of language generation: Trade-offs between hallucination and mode collapse

A Kalavasis, A Mehrotra, G Velegkas - arxiv preprint arxiv:2411.09642, 2024 - arxiv.org
Specifying all desirable properties of a language model is challenging, but certain
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 …

Universal Rates for Active Learning

S Hanneke, A Karbasi, S Moran, G Velegkas - The Thirty-eighth Annual … - openreview.net
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 …