Analyzing machine-learned representations: A natural language case study

12 September 2019

Papers citing "Analyzing machine-learned representations: A natural language case study"

7 / 7 papers shown

Title
Representation in large language models Cameron C. Yetman 101 1 0 03 Jan 2025
Probing BERT's priors with serial reproduction chains Takateru Yamakoshi Thomas Griffiths Robert D. Hawkins 84 13 0 24 Feb 2022
Distinguishing rule- and exemplar-based generalization in learning systems Ishita Dasgupta Erin Grant Thomas Griffiths 88 16 0 08 Oct 2021
Measuring Systematic Generalization in Neural Proof Generation with Transformers Nicolas Angelard-Gontier Koustuv Sinha Siva Reddy C. Pal LRM 106 64 0 30 Sep 2020
Probing Linguistic Systematicity Emily Goodwin Koustuv Sinha Timothy J. O'Donnell 146 58 0 08 May 2020
Discovering the Compositional Structure of Vector Representations with Role Learning Networks Paul Soulos R. Thomas McCoy Tal Linzen P. Smolensky CoGe 132 44 0 21 Oct 2019
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 203 601 0 31 Oct 2017