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Compositional Generalization Across Distributional Shifts with Sparse
  Tree Operations

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations

Neural Information Processing Systems (NeurIPS), 2024
18 December 2024
Paul Soulos
Henry Conklin
Mattia Opper
P. Smolensky
Jianfeng Gao
Roland Fernandez
ArXiv (abs)PDFHTML

Papers citing "Compositional Generalization Across Distributional Shifts with Sparse Tree Operations"

5 / 5 papers shown
Title
Hey Pentti, We Did (More of) It!: A Vector-Symbolic Lisp With Residue Arithmetic
Hey Pentti, We Did (More of) It!: A Vector-Symbolic Lisp With Residue ArithmeticIEEE International Joint Conference on Neural Network (IJCNN), 2025
Connor Hanley
Eilene Tomkins-Flanaganm
Mary Alexandria Kelly
40
0
0
11 Nov 2025
Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated SurveyAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Ivan Vegner
Sydelle de Souza
Valentin Forch
Martha Lewis
Leonidas A.A. Doumas
198
3
0
04 Jun 2025
TRA: Better Length Generalisation with Threshold Relative Attention
TRA: Better Length Generalisation with Threshold Relative Attention
Mattia Opper
Roland Fernandez
P. Smolensky
Jianfeng Gao
400
1
0
29 Mar 2025
Banyan: Improved Representation Learning with Explicit Structure
Banyan: Improved Representation Learning with Explicit Structure
Mattia Opper
N. Siddharth
467
2
0
25 Jul 2024
Discovering the Compositional Structure of Vector Representations with
  Role Learning Networks
Discovering the Compositional Structure of Vector Representations with Role Learning NetworksBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2019
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
315
45
0
21 Oct 2019
1