Real-World Compositional Generalization with Disentangled Sequence-to-Sequence Learning

12 December 2022

Papers citing "Real-World Compositional Generalization with Disentangled Sequence-to-Sequence Learning"

8 / 8 papers shown

Title
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation Anssi Moisio Mathias Creutz M. Kurimo CoGe 19 1 0 14 Nov 2023
Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization Lei Lin Shuangtao Li Yafang Zheng Biao Fu Shantao Liu Yidong Chen Xiaodon Shi CoGe 25 2 0 20 May 2023
Forming Trees with Treeformers Nilay Patel Jeffrey Flanigan AI4CE 21 3 0 14 Jul 2022
The paradox of the compositionality of natural language: a neural machine translation case study Verna Dankers Elia Bruni Dieuwke Hupkes CoGe 162 75 0 12 Aug 2021
On Compositional Generalization of Neural Machine Translation Yafu Li Yongjing Yin Yulong Chen Yue Zhang 156 45 0 31 May 2021
Constrained Language Models Yield Few-Shot Semantic Parsers Richard Shin C. H. Lin Sam Thomson Charles C. Chen Subhro Roy Emmanouil Antonios Platanios Adam Pauls Dan Klein J. Eisner Benjamin Van Durme 301 198 0 18 Apr 2021
Task-Oriented Dialogue as Dataflow Synthesis Semantic Machines Jacob Andreas J. Bufe David Burkett Charles C. Chen ... Izabela Witoszko Jason Wolfe A. Wray Yuchen Zhang Alexander Zotov AIFin 195 153 0 24 Sep 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016