Evaluating the Ability of LSTMs to Learn Context-Free Grammars

6 November 2018

Papers citing "Evaluating the Ability of LSTMs to Learn Context-Free Grammars"

6 / 6 papers shown

Title
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions S. Bhattamishra Arkil Patel Varun Kanade Phil Blunsom 27 46 0 22 Nov 2022
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax Jean-Philippe Bernardy Shalom Lappin 65 1 0 11 Aug 2022
Neural Networks and the Chomsky Hierarchy Grégoire Delétang Anian Ruoss Jordi Grau-Moya Tim Genewein L. Wenliang ... Chris Cundy Marcus Hutter Shane Legg Joel Veness Pedro A. Ortega UQCV 109 133 0 05 Jul 2022
Thinking Like Transformers Gail Weiss Yoav Goldberg Eran Yahav AI4CE 35 129 0 13 Jun 2021
On the Computational Power of Transformers and its Implications in Sequence Modeling S. Bhattamishra Arkil Patel Navin Goyal 33 66 0 16 Jun 2020
Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages Mirac Suzgun Sebastian Gehrmann Yonatan Belinkov Stuart M. Shieber 32 50 0 08 Nov 2019