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Linguistic generalization and compositionality in modern artificial
  neural networks

Linguistic generalization and compositionality in modern artificial neural networks

30 March 2019
Marco Baroni
    AI4CE
ArXivPDFHTML

Papers citing "Linguistic generalization and compositionality in modern artificial neural networks"

30 / 30 papers shown
Title
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
S. Oota
Zijiao Chen
Manish Gupta
R. Bapi
G. Jobard
F. Alexandre
X. Hinaut
3DV
AI4CE
49
11
0
31 Dec 2024
Evaluating Morphological Compositional Generalization in Large Language Models
Evaluating Morphological Compositional Generalization in Large Language Models
Mete Ismayilzada
Yuan Chiang
Jonne Sälevä
Hale Sirin
Abdullatif Köksal
Bhuwan Dhingra
Antoine Bosselut
Lonneke van der Plas
Duygu Ataman
36
2
0
16 Oct 2024
Geometric Signatures of Compositionality Across a Language Model's Lifetime
Geometric Signatures of Compositionality Across a Language Model's Lifetime
Jin Hwa Lee
Thomas Jiralerspong
Lei Yu
Yoshua Bengio
Emily Cheng
CoGe
87
1
0
02 Oct 2024
A Review of the Applications of Deep Learning-Based Emergent
  Communication
A Review of the Applications of Deep Learning-Based Emergent Communication
Brendon Boldt
David R. Mortensen
VLM
39
6
0
03 Jul 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep
  neural networks
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
81
3
0
24 May 2024
Towards Equipping Transformer with the Ability of Systematic
  Compositionality
Towards Equipping Transformer with the Ability of Systematic Compositionality
Chen Huang
Peixin Qin
Wenqiang Lei
Jiancheng Lv
35
2
0
12 Dec 2023
HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic
  Generalization Performance of Human-Object Interaction Detection Models
HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models
Kenta Takemoto
Moyuru Yamada
Tomotake Sasaki
H. Akima
37
0
0
17 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
OCL
CoGe
16
4
0
27 Apr 2023
Correcting Flaws in Common Disentanglement Metrics
Correcting Flaws in Common Disentanglement Metrics
Louis Mahon
Lei Shah
Thomas Lukasiewicz
CoGe
DRL
42
3
0
05 Apr 2023
Joint processing of linguistic properties in brains and language models
Joint processing of linguistic properties in brains and language models
S. Oota
Manish Gupta
Mariya Toneva
24
26
0
15 Dec 2022
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as
  Artificial Adversaries?
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
Saadia Gabriel
Hamid Palangi
Yejin Choi
AAML
45
1
0
08 Nov 2022
The boundaries of meaning: a case study in neural machine translation
The boundaries of meaning: a case study in neural machine translation
Yuri Balashov
24
2
0
02 Oct 2022
Subject Verb Agreement Error Patterns in Meaningless Sentences: Humans
  vs. BERT
Subject Verb Agreement Error Patterns in Meaningless Sentences: Humans vs. BERT
Karim Lasri
Olga Seminck
Alessandro Lenci
Thierry Poibeau
29
4
0
21 Sep 2022
Systematicity, Compositionality and Transitivity of Deep NLP Models: a
  Metamorphic Testing Perspective
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective
Edoardo Manino
Julia Rozanova
Danilo S. Carvalho
André Freitas
Lucas C. Cordeiro
30
7
0
26 Apr 2022
Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on
  a Syntactic Task
Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task
Karim Lasri
Alessandro Lenci
Thierry Poibeau
26
13
0
14 Apr 2022
Revisiting the Compositional Generalization Abilities of Neural Sequence
  Models
Revisiting the Compositional Generalization Abilities of Neural Sequence Models
Arkil Patel
S. Bhattamishra
Phil Blunsom
Navin Goyal
BDL
CoGe
29
32
0
14 Mar 2022
Improving Systematic Generalization Through Modularity and Augmentation
Improving Systematic Generalization Through Modularity and Augmentation
Laura Ruis
Brenden M. Lake
45
16
0
22 Feb 2022
Program Transfer for Answering Complex Questions over Knowledge Bases
Program Transfer for Answering Complex Questions over Knowledge Bases
S. Cao
Jiaxin Shi
Zijun Yao
Xin Lv
Jifan Yu
Lei Hou
Juanzi Li
Zhiyuan Liu
Jinghui Xiao
35
56
0
12 Oct 2021
Target Languages (vs. Inductive Biases) for Learning to Act and Plan
Target Languages (vs. Inductive Biases) for Learning to Act and Plan
Hector Geffner
42
6
0
15 Sep 2021
Predicting emergent linguistic compositions through time: Syntactic
  frame extension via multimodal chaining
Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining
Lei Yu
Yang Xu
32
8
0
10 Sep 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
35
20
0
03 Jul 2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language
  Semantics
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
Hitomi Yanaka
K. Mineshima
Kentaro Inui
NAI
AI4CE
38
11
0
02 Jun 2021
Disentangling Syntax and Semantics in the Brain with Deep Networks
Disentangling Syntax and Semantics in the Brain with Deep Networks
Charlotte Caucheteux
Alexandre Gramfort
J. King
36
70
0
02 Mar 2021
Exploring Transitivity in Neural NLI Models through Veridicality
Exploring Transitivity in Neural NLI Models through Veridicality
Hitomi Yanaka
K. Mineshima
Kentaro Inui
28
23
0
26 Jan 2021
Compositional Generalization by Learning Analytical Expressions
Compositional Generalization by Learning Analytical Expressions
Qian Liu
Shengnan An
Jian-Guang Lou
Bei Chen
Zeqi Lin
Yan Gao
Bin Zhou
Nanning Zheng
Dongmei Zhang
CoGe
NAI
20
72
0
18 Jun 2020
The Unreasonable Volatility of Neural Machine Translation Models
The Unreasonable Volatility of Neural Machine Translation Models
Marzieh Fadaee
Christof Monz
28
16
0
25 May 2020
Emergence of Syntax Needs Minimal Supervision
Emergence of Syntax Needs Minimal Supervision
Raphaël Bailly
Kata Gábor
36
5
0
03 May 2020
Probing the phonetic and phonological knowledge of tones in Mandarin TTS
  models
Probing the phonetic and phonological knowledge of tones in Mandarin TTS models
Jian Zhu
18
8
0
23 Dec 2019
Capacity, Bandwidth, and Compositionality in Emergent Language Learning
Capacity, Bandwidth, and Compositionality in Emergent Language Learning
Cinjon Resnick
Abhinav Gupta
Jakob N. Foerster
Andrew M. Dai
Kyunghyun Cho
31
51
0
24 Oct 2019
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
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