Disentangled Sequence to Sequence Learning for Compositional Generalization

9 October 2021

Papers citing "Disentangled Sequence to Sequence Learning for Compositional Generalization"

9 / 9 papers shown

Title
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings Yichen Jiang Xiang Zhou Mohit Bansal 23 1 0 09 Feb 2024
Layer-wise Representation Fusion for Compositional Generalization Yafang Zheng Lei Lin Shantao Liu Binling Wang Zhaohong Lai Wenhao Rao Biao Fu Yidong Chen Xiaodon Shi AI4CE 32 2 0 20 Jul 2023
Learning to Substitute Spans towards Improving Compositional Generalization Zhaoyi Li Ying Wei Defu Lian 10 9 0 05 Jun 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 20 2 0 23 May 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 23 2 0 20 May 2023
ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation Zhengxuan Wu Christopher D. Manning Christopher Potts 27 22 0 24 Mar 2023
Structural generalization is hard for sequence-to-sequence models Yuekun Yao Alexander Koller 19 21 0 24 Oct 2022
TAGPRIME: A Unified Framework for Relational Structure Extraction I-Hung Hsu Kuan-Hao Huang Shuning Zhang Wen-Huang Cheng Premkumar Natarajan Kai-Wei Chang Nanyun Peng 10 11 0 25 May 2022
On Compositional Generalization of Neural Machine Translation Yafu Li Yongjing Yin Yulong Chen Yue Zhang 148 44 0 31 May 2021