On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages

8 November 2020

Papers citing "On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages"

6 / 6 papers shown

Title
Training Neural Networks as Recognizers of Formal Languages Alexandra Butoi Ghazal Khalighinejad Anej Svete Josef Valvoda Ryan Cotterell Brian DuSell NAI 44 2 0 11 Nov 2024
Separations in the Representational Capabilities of Transformers and Recurrent Architectures S. Bhattamishra Michael Hahn Phil Blunsom Varun Kanade GNN 44 9 0 13 Jun 2024
Recurrent Neural Language Models as Probabilistic Finite-state Automata Anej Svete Ryan Cotterell 42 2 0 08 Oct 2023
Faith and Fate: Limits of Transformers on Compositionality Nouha Dziri Ximing Lu Melanie Sclar Xiang Lorraine Li Liwei Jian ... Sean Welleck Xiang Ren Allyson Ettinger Zaïd Harchaoui Yejin Choi ReLM LRM 37 336 0 29 May 2023
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions S. Bhattamishra Arkil Patel Varun Kanade Phil Blunsom 22 46 0 22 Nov 2022
Benchmarking Compositionality with Formal Languages Josef Valvoda Naomi Saphra Jonathan Rawski Adina Williams Ryan Cotterell NAI CoGe 38 9 0 17 Aug 2022