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Compositional generalization in a deep seq2seq model by separating
  syntax and semantics
v1v2v3 (latest)

Compositional generalization in a deep seq2seq model by separating syntax and semantics

22 April 2019
Jacob Russin
Jason Jo
R. C. O'Reilly
Yoshua Bengio
ArXiv (abs)PDFHTML

Papers citing "Compositional generalization in a deep seq2seq model by separating syntax and semantics"

50 / 77 papers shown
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow
Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow
Y. Du
C. Guo
W. Wang
G. Tang
LRM
95
0
0
17 Aug 2025
A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition
A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition
Yuanpeng Li
CoGe
916
0
0
05 May 2025
Compositional Generalization Across Distributional Shifts with Sparse
  Tree Operations
Compositional Generalization Across Distributional Shifts with Sparse Tree OperationsNeural Information Processing Systems (NeurIPS), 2024
Paul Soulos
Henry Conklin
Mattia Opper
P. Smolensky
Jianfeng Gao
Roland Fernandez
318
6
0
18 Dec 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Yuncheng Hua
Yujin Huang
Shuo Huang
Tao Feng
Zhuang Li
Chris Bain
R. Bassed
Gholamreza Haffari
CMLOOD
374
5
0
18 Jun 2024
What makes Models Compositional? A Theoretical View: With Supplement
What makes Models Compositional? A Theoretical View: With SupplementInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Parikshit Ram
Tim Klinger
Alexander G. Gray
CoGe
315
8
0
02 May 2024
Enhancing Length Extrapolation in Sequential Models with
  Pointer-Augmented Neural Memory
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory
Hung Le
D. Nguyen
Kien Do
Svetha Venkatesh
T. Tran
266
0
0
18 Apr 2024
Towards Understanding the Relationship between In-context Learning and
  Compositional Generalization
Towards Understanding the Relationship between In-context Learning and Compositional GeneralizationInternational Conference on Language Resources and Evaluation (LREC), 2024
Sungjun Han
Sebastian Padó
CoGe
220
5
0
18 Mar 2024
Compositional Generalization for Multi-label Text Classification: A
  Data-Augmentation Approach
Compositional Generalization for Multi-label Text Classification: A Data-Augmentation Approach
Xiangyu Chu
Zhuang Li
Jiahui Liu
Lei Chen
Yuanpei Cai
Donghong Ji
K. W. S. Au
372
16
0
18 Dec 2023
Towards Equipping Transformer with the Ability of Systematic
  Compositionality
Towards Equipping Transformer with the Ability of Systematic CompositionalityAAAI Conference on Artificial Intelligence (AAAI), 2023
Chen Huang
Peixin Qin
Wenqiang Lei
Jiancheng Lv
268
2
0
12 Dec 2023
Sparse Universal Transformer
Sparse Universal TransformerConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Shawn Tan
Songlin Yang
Zhenfang Chen
Aaron Courville
Chuang Gan
MoE
327
27
0
11 Oct 2023
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction
The Relational Bottleneck as an Inductive Bias for Efficient AbstractionTrends in Cognitive Sciences (Trends Cogn Sci), 2023
Taylor Webb
Steven M. Frankland
Awni Altabaa
Simon N. Segert
Kamesh Krishnamurthy
...
Tyler Giallanza
Zack Dulberg
Randall O'Reilly
John Lafferty
Jonathan D. Cohen
442
38
0
12 Sep 2023
ExeDec: Execution Decomposition for Compositional Generalization in
  Neural Program Synthesis
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program SynthesisInternational Conference on Learning Representations (ICLR), 2023
Kensen Shi
Joey Hong
Yinlin Deng
Pengcheng Yin
Manzil Zaheer
Charles Sutton
215
21
0
26 Jul 2023
Layer-wise Representation Fusion for Compositional Generalization
Layer-wise Representation Fusion for Compositional GeneralizationAAAI Conference on Artificial Intelligence (AAAI), 2023
Yafang Zheng
Lei Lin
Shantao Liu
Binling Wang
Zhaohong Lai
Wenhao Rao
Biao Fu
Yidong Chen
Xiaodon Shi
AI4CE
395
4
0
20 Jul 2023
Compositional Generalization from First Principles
Compositional Generalization from First PrinciplesNeural Information Processing Systems (NeurIPS), 2023
Thaddäus Wiedemer
Prasanna Mayilvahanan
Matthias Bethge
Wieland Brendel
OCL
229
60
0
10 Jul 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Yongfeng Zhang
Jennifer Foster
Yue Zhang
OOD
323
3
0
23 May 2023
Learning to Compose Representations of Different Encoder Layers towards
  Improving Compositional Generalization
Learning to Compose Representations of Different Encoder Layers towards Improving Compositional GeneralizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Lei Lin
Shuangtao Li
Yafang Zheng
Biao Fu
Shantao Liu
Yidong Chen
Xiaodon Shi
CoGe
375
3
0
20 May 2023
Visual Referential Games Further the Emergence of Disentangled
  Representations
Visual Referential Games Further the Emergence of Disentangled Representations
Kevin Denamganai
S. Missaoui
James Alfred Walker
OCLCoGe
253
6
0
27 Apr 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and
  Why?
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?The Web Conference (WWW), 2023
Da Xu
Bo Yang
221
5
0
09 Apr 2023
Information-Restricted Neural Language Models Reveal Different Brain
  Regions' Sensitivity to Semantics, Syntax and Context
Information-Restricted Neural Language Models Reveal Different Brain Regions' Sensitivity to Semantics, Syntax and ContextNeurobiology of Language (NoL), 2023
Alexandre Pasquiou
Yair Lakretz
Bertrand Thirion
Christophe Pallier
147
22
0
28 Feb 2023
A Short Survey of Systematic Generalization
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
350
1
0
22 Nov 2022
On the Compositional Generalization Gap of In-Context Learning
On the Compositional Generalization Gap of In-Context LearningBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2022
Arian Hosseini
Ankit Vani
Dzmitry Bahdanau
Alessandro Sordoni
Rameswar Panda
204
30
0
15 Nov 2022
Spontaneous Emerging Preference in Two-tower Language Model
Spontaneous Emerging Preference in Two-tower Language Model
Zhengqi He
Taro Toyoizumi
LRM
219
1
0
13 Oct 2022
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022
Sourya Basu
P. Sattigeri
Karthikeyan N. Ramamurthy
Vijil Chenthamarakshan
Kush R. Varshney
Lav Varshney
Payel Das
261
24
0
13 Oct 2022
Neural-Symbolic Recursive Machine for Systematic Generalization
Neural-Symbolic Recursive Machine for Systematic GeneralizationInternational Conference on Learning Representations (ICLR), 2022
Qing Li
Yixin Zhu
Yitao Liang
Ying Nian Wu
Song-Chun Zhu
Siyuan Huang
NAI
369
14
0
04 Oct 2022
Compositional Semantic Parsing with Large Language Models
Compositional Semantic Parsing with Large Language Models
Andrew Drozdov
Nathanael Scharli
Ekin Akyuurek
Nathan Scales
Xinying Song
Xinyun Chen
Olivier Bousquet
Denny Zhou
ReLMLRM
791
105
0
29 Sep 2022
Equivariant Transduction through Invariant Alignment
Equivariant Transduction through Invariant AlignmentInternational Conference on Computational Linguistics (COLING), 2022
Jennifer C. White
Robert Bamler
231
5
0
22 Sep 2022
On a Built-in Conflict between Deep Learning and Systematic
  Generalization
On a Built-in Conflict between Deep Learning and Systematic Generalization
Yuanpeng Li
OOD
234
0
0
24 Aug 2022
Induced Natural Language Rationales and Interleaved Markup Tokens Enable
  Extrapolation in Large Language Models
Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models
M. Bueno
Carlos Gemmel
Jeffrey Stephen Dalton
R. Lotufo
Rodrigo Nogueira
LRM
322
12
0
24 Aug 2022
Meta-Referential Games to Learn Compositional Learning Behaviours
Meta-Referential Games to Learn Compositional Learning Behaviours
Kevin Denamganai
S. Missaoui
James Alfred Walker
588
1
0
16 Jul 2022
Evaluating the Impact of Model Scale for Compositional Generalization in
  Semantic Parsing
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Linlu Qiu
Peter Shaw
Panupong Pasupat
Tianze Shi
Jonathan Herzig
Emily Pitler
Fei Sha
Kristina Toutanova
AI4CELRM
353
59
0
24 May 2022
Least-to-Most Prompting Enables Complex Reasoning in Large Language
  Models
Least-to-Most Prompting Enables Complex Reasoning in Large Language ModelsInternational Conference on Learning Representations (ICLR), 2022
Denny Zhou
Nathanael Scharli
Le Hou
Jason W. Wei
Nathan Scales
...
Dale Schuurmans
Claire Cui
Olivier Bousquet
Quoc Le
Ed H. Chi
RALMLRMAI4CE
681
1,547
0
21 May 2022
Is the Computation of Abstract Sameness Relations Human-Like in Neural
  Language Models?
Is the Computation of Abstract Sameness Relations Human-Like in Neural Language Models?
Lukas Thoma
Benjamin Roth
190
0
0
12 May 2022
Compositional Generalization and Decomposition in Neural Program
  Synthesis
Compositional Generalization and Decomposition in Neural Program Synthesis
Kensen Shi
Joey Hong
Manzil Zaheer
Pengcheng Yin
Charles Sutton
209
8
0
07 Apr 2022
Compositional Temporal Grounding with Structured Variational Cross-Graph
  Correspondence Learning
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence LearningComputer Vision and Pattern Recognition (CVPR), 2022
Juncheng Li
Junlin Xie
Long Qian
Linchao Zhu
Siliang Tang
Leilei Gan
Yi Yang
Yueting Zhuang
Xinze Wang
267
82
0
24 Mar 2022
Revisiting the Compositional Generalization Abilities of Neural Sequence
  Models
Revisiting the Compositional Generalization Abilities of Neural Sequence ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Arkil Patel
S. Bhattamishra
Phil Blunsom
Navin Goyal
BDLCoGe
179
32
0
14 Mar 2022
Improving Systematic Generalization Through Modularity and Augmentation
Improving Systematic Generalization Through Modularity and AugmentationAnnual Meeting of the Cognitive Science Society (CogSci), 2022
Laura Ruis
Brenden M. Lake
234
18
0
22 Feb 2022
Improving Compositional Generalization with Latent Structure and Data
  Augmentation
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
349
60
0
14 Dec 2021
Learning to Generalize Compositionally by Transferring Across Semantic
  Parsing Tasks
Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks
Peng Guo
Peter Shaw
Tal Linzen
Fei Sha
196
7
0
09 Nov 2021
Grounded Graph Decoding Improves Compositional Generalization in
  Question Answering
Grounded Graph Decoding Improves Compositional Generalization in Question Answering
Yu Gai
Paras Jain
Wendi Zhang
Joseph E. Gonzalez
Basel Alomair
Ion Stoica
BDLOOD
221
9
0
05 Nov 2021
The Neural Data Router: Adaptive Control Flow in Transformers Improves
  Systematic Generalization
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization
Róbert Csordás
Kazuki Irie
Jürgen Schmidhuber
AI4CE
444
65
0
14 Oct 2021
Sequence-to-Sequence Learning with Latent Neural Grammars
Sequence-to-Sequence Learning with Latent Neural Grammars
Yoon Kim
688
42
0
02 Sep 2021
The Devil is in the Detail: Simple Tricks Improve Systematic
  Generalization of Transformers
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of TransformersConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Róbert Csordás
Kazuki Irie
Jürgen Schmidhuber
ViT
425
148
0
26 Aug 2021
Making Transformers Solve Compositional Tasks
Making Transformers Solve Compositional TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Santiago Ontañón
Joshua Ainslie
Vaclav Cvicek
Zachary Kenneth Fisher
273
85
0
09 Aug 2021
Learning Algebraic Recombination for Compositional Generalization
Learning Algebraic Recombination for Compositional Generalization
Chenyao Liu
Shengnan An
Zeqi Lin
Qian Liu
Bei Chen
Jian-Guang Lou
Lijie Wen
Nanning Zheng
Dongmei Zhang
CoGe
407
37
0
14 Jul 2021
Can Transformers Jump Around Right in Natural Language? Assessing
  Performance Transfer from SCAN
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN
Rahma Chaabouni
Roberto Dessì
Eugene Kharitonov
270
20
0
03 Jul 2021
Improving Compositional Generalization in Classification Tasks via
  Structure Annotations
Improving Compositional Generalization in Classification Tasks via Structure AnnotationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Tong Zhang
Pradeep Ravikumar
Joshua Ainslie
Santiago Ontañón
CoGe
227
20
0
19 Jun 2021
Meta-Learning to Compositionally Generalize
Meta-Learning to Compositionally GeneralizeAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Henry Conklin
Bailin Wang
Kenny Smith
Ivan Titov
OOD
362
81
0
08 Jun 2021
Lexicon Learning for Few-Shot Neural Sequence Modeling
Lexicon Learning for Few-Shot Neural Sequence ModelingAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Ekin Akyürek
Jacob Andreas
281
33
0
07 Jun 2021
Structured Reordering for Modeling Latent Alignments in Sequence
  Transduction
Structured Reordering for Modeling Latent Alignments in Sequence TransductionNeural Information Processing Systems (NeurIPS), 2021
Bailin Wang
Mirella Lapata
Ivan Titov
BDL
255
20
0
06 Jun 2021
On Compositional Generalization of Neural Machine Translation
On Compositional Generalization of Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Yafu Li
Yongjing Yin
Yulong Chen
Yue Zhang
363
52
0
31 May 2021
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