Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization

6 September 2021

Papers citing "Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization"

8 / 8 papers shown

Title
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 30 2 0 20 Jul 2023
Learning to Substitute Spans towards Improving Compositional Generalization Zhaoyi Li Ying Wei Defu Lian 8 9 0 05 Jun 2023
How Do In-Context Examples Affect Compositional Generalization? Shengnan An Zeqi Lin Qiang Fu B. Chen Nanning Zheng Jian-Guang Lou Dongmei Zhang 22 49 0 08 May 2023
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 22 1 0 22 Nov 2022
Improving Compositional Generalization with Latent Structure and Data Augmentation Linlu Qiu Peter Shaw Panupong Pasupat Pawel Krzysztof Nowak Tal Linzen Fei Sha Kristina Toutanova CoGe 23 57 0 14 Dec 2021
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking Ronen Tamari Kyle Richardson Aviad Sar-Shalom Noam Kahlon Nelson F. Liu Reut Tsarfaty Dafna Shahaf 28 5 0 30 Nov 2021
Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks Wang Zhu Peter Shaw Tal Linzen Fei Sha 25 7 0 09 Nov 2021
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization Yinuo Guo Hualei Zhu Zeqi Lin Bei Chen Jian-Guang Lou Dongmei Zhang BDL 179 26 0 08 Dec 2020