SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation

1 October 2023

Papers citing "SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation"

9 / 9 papers shown

Title
Transfer of Structural Knowledge from Synthetic Languages Mikhail Budnikov Ivan Yamshchikov 24 0 0 21 May 2025
Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations Matthias Lindemann Alexander Koller Ivan Titov AI4CE NAI 43 4 0 05 Jul 2024
Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models Adam Karvonen 47 21 0 21 Mar 2024
Modeling rapid language learning by distilling Bayesian priors into artificial neural networks R. Thomas McCoy Thomas Griffiths BDL 47 15 0 24 May 2023
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 112 138 0 05 Jul 2022
On Compositional Generalization of Neural Machine Translation Yafu Li Yongjing Yin Yulong Chen Yue Zhang 164 45 0 31 May 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 298 3,906 0 18 Apr 2021
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning Yuhuai Wu M. Rabe Wenda Li Jimmy Ba Roger C. Grosse Christian Szegedy AIMat LRM 82 55 0 15 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 638 11,762 0 09 Mar 2017