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Human few-shot learning of compositional instructions
v1v2 (latest)

Human few-shot learning of compositional instructions

14 January 2019
Brenden M. Lake
Tal Linzen
Marco Baroni
ArXiv (abs)PDFHTML

Papers citing "Human few-shot learning of compositional instructions"

47 / 47 papers shown
Title
InductionBench: LLMs Fail in the Simplest Complexity Class
InductionBench: LLMs Fail in the Simplest Complexity Class
Wenyue Hua
Tyler Wong
Sun Fei
Liangming Pan
Adam Jardine
William Yang Wang
LRM
141
5
0
20 Feb 2025
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following
Vivek Myers
Bill Chunyuan Zheng
Anca Dragan
Kuan Fang
Sergey Levine
198
1
0
08 Feb 2025
Few-Shot Task Learning through Inverse Generative Modeling
Few-Shot Task Learning through Inverse Generative Modeling
Aviv Netanyahu
Yilun Du
Antonia Bronars
Jyothish Pari
J. Tenenbaum
Tianmin Shu
Pulkit Agrawal
131
4
0
07 Nov 2024
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
Jiachun Li
Pengfei Cao
Zhuoran Jin
Yubo Chen
Kang Liu
Jun Zhao
LRMELM
80
7
0
12 Oct 2024
When does compositional structure yield compositional generalization? A kernel theory
When does compositional structure yield compositional generalization? A kernel theory
Samuel Lippl
Kim Stachenfeld
NAICoGe
253
10
0
26 May 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
189
4
0
24 May 2024
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Bhishma Dedhia
N. Jha
OCL
145
1
0
02 Feb 2024
D3: Data Diversity Design for Systematic Generalization in Visual
  Question Answering
D3: Data Diversity Design for Systematic Generalization in Visual Question Answering
Amir Rahimi
Vanessa D’Amario
Moyuru Yamada
Kentaro Takemoto
Tomotake Sasaki
Xavier Boix
66
1
0
15 Sep 2023
MEWL: Few-shot multimodal word learning with referential uncertainty
MEWL: Few-shot multimodal word learning with referential uncertainty
Guangyuan Jiang
Manjie Xu
Shiji Xin
Weihan Liang
Yujia Peng
Chi Zhang
Yixin Zhu
OffRL
88
17
0
01 Jun 2023
Im-Promptu: In-Context Composition from Image Prompts
Im-Promptu: In-Context Composition from Image Prompts
Bhishma Dedhia
Michael Chang
Jake C. Snell
Thomas Griffiths
N. Jha
LRMMLLM
103
2
0
26 May 2023
A Survey on Compositional Generalization in Applications
A Survey on Compositional Generalization in Applications
Baihan Lin
Djallel Bouneffouf
Irina Rish
AI4CE
116
13
0
02 Feb 2023
A Short Survey of Systematic Generalization
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
97
1
0
22 Nov 2022
What Artificial Neural Networks Can Tell Us About Human Language
  Acquisition
What Artificial Neural Networks Can Tell Us About Human Language Acquisition
Alex Warstadt
Samuel R. Bowman
88
120
0
17 Aug 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
BDLCoGe
78
32
0
14 Mar 2022
One-Shot Learning from a Demonstration with Hierarchical Latent Language
One-Shot Learning from a Demonstration with Hierarchical Latent Language
Nathaniel Weir
Xingdi Yuan
Marc-Alexandre Côté
Matthew J. Hausknecht
Romain Laroche
Ida Momennejad
H. V. Seijen
Benjamin Van Durme
BDL
89
8
0
09 Mar 2022
Can Humans Do Less-Than-One-Shot Learning?
Can Humans Do Less-Than-One-Shot Learning?
Maya Malaviya
Ilia Sucholutsky
Kerem Oktar
Thomas Griffiths
149
8
0
09 Feb 2022
Interpretable Learned Emergent Communication for Human-Agent Teams
Interpretable Learned Emergent Communication for Human-Agent Teams
Seth Karten
Mycal Tucker
Huao Li
Siva Kailas
Michael Lewis
Katia Sycara
AI4CE
80
10
0
19 Jan 2022
Learning Symbolic Rules for Reasoning in Quasi-Natural Language
Learning Symbolic Rules for Reasoning in Quasi-Natural Language
Kaiyu Yang
Jia Deng
NAIReLMLRM
61
13
0
23 Nov 2021
Schrödinger's Tree -- On Syntax and Neural Language Models
Schrödinger's Tree -- On Syntax and Neural Language Models
Artur Kulmizev
Joakim Nivre
70
6
0
17 Oct 2021
We went to look for meaning and all we got were these lousy
  representations: aspects of meaning representation for computational
  semantics
We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics
Simon Dobnik
R. Cooper
Adam Ek
Bill Noble
Staffan Larsson
N. Ilinykh
Vladislav Maraev
Vidya Somashekarappa
64
0
0
10 Sep 2021
The paradox of the compositionality of natural language: a neural
  machine translation case study
The paradox of the compositionality of natural language: a neural machine translation case study
Verna Dankers
Elia Bruni
Dieuwke Hupkes
CoGe
221
81
0
12 Aug 2021
Few-Shot Learning with a Strong Teacher
Few-Shot Learning with a Strong Teacher
Han-Jia Ye
Lu Ming
De-Chuan Zhan
Wei-Lun Chao
99
53
0
01 Jul 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics
Leveraging Language to Learn Program Abstractions and Search Heuristics
Catherine Wong
Kevin Ellis
J. Tenenbaum
Jacob Andreas
107
56
0
18 Jun 2021
Lexicon Learning for Few-Shot Neural Sequence Modeling
Lexicon Learning for Few-Shot Neural Sequence Modeling
Ekin Akyürek
Jacob Andreas
95
33
0
07 Jun 2021
Modelling the development of counting with memory-augmented neural
  networks
Modelling the development of counting with memory-augmented neural networks
Zachary Dulberg
Taylor Webb
Jonathan Cohen
91
3
0
21 May 2021
Flexible Compositional Learning of Structured Visual Concepts
Flexible Compositional Learning of Structured Visual Concepts
Yanli Zhou
Brenden M. Lake
OCLCoGe
41
7
0
20 May 2021
Fast and flexible: Human program induction in abstract reasoning tasks
Fast and flexible: Human program induction in abstract reasoning tasks
Aysja Johnson
Wai Keen Vong
Brenden M. Lake
Todd M. Gureckis
LRM
40
33
0
10 Mar 2021
Symbolic Behaviour in Artificial Intelligence
Symbolic Behaviour in Artificial Intelligence
Adam Santoro
Andrew Kyle Lampinen
Kory W. Mathewson
Timothy Lillicrap
David Raposo
79
34
0
05 Feb 2021
Compositional Generalization and Natural Language Variation: Can a
  Semantic Parsing Approach Handle Both?
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?
Peter Shaw
Ming-Wei Chang
Panupong Pasupat
Kristina Toutanova
CoGe
87
187
0
24 Oct 2020
Compositional Generalization via Semantic Tagging
Compositional Generalization via Semantic Tagging
Hao Zheng
Mirella Lapata
79
35
0
22 Oct 2020
Learning to Recombine and Resample Data for Compositional Generalization
Learning to Recombine and Resample Data for Compositional Generalization
Ekin Akyürek
Afra Feyza Akyürek
Jacob Andreas
84
81
0
08 Oct 2020
Compositional Generalization via Neural-Symbolic Stack Machines
Compositional Generalization via Neural-Symbolic Stack Machines
Xinyun Chen
Chen Liang
Adams Wei Yu
Basel Alomair
Denny Zhou
BDL
79
101
0
15 Aug 2020
What they do when in doubt: a study of inductive biases in seq2seq
  learners
What they do when in doubt: a study of inductive biases in seq2seq learners
Eugene Kharitonov
Rahma Chaabouni
79
27
0
26 Jun 2020
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
CoGeNAI
76
73
0
18 Jun 2020
Probing Linguistic Systematicity
Probing Linguistic Systematicity
Emily Goodwin
Koustuv Sinha
Timothy J. O'Donnell
146
58
0
08 May 2020
Teaching Machine Comprehension with Compositional Explanations
Teaching Machine Comprehension with Compositional Explanations
Qinyuan Ye
Xiao Huang
Elizabeth Boschee
Xiang Ren
LRMReLM
96
34
0
02 May 2020
Language (Re)modelling: Towards Embodied Language Understanding
Language (Re)modelling: Towards Embodied Language Understanding
Ronen Tamari
Chen Shani
Tom Hope
Miriam R. L. Petruck
Omri Abend
Dafna Shahaf
72
28
0
01 May 2020
Learning Compositional Rules via Neural Program Synthesis
Learning Compositional Rules via Neural Program Synthesis
Maxwell Nye
Armando Solar-Lezama
J. Tenenbaum
Brenden M. Lake
NAILRM
83
118
0
12 Mar 2020
A Benchmark for Systematic Generalization in Grounded Language
  Understanding
A Benchmark for Systematic Generalization in Grounded Language Understanding
Laura Ruis
Jacob Andreas
Marco Baroni
Diane Bouchacourt
Brenden M. Lake
109
145
0
11 Mar 2020
Ecological Semantics: Programming Environments for Situated Language
  Understanding
Ecological Semantics: Programming Environments for Situated Language Understanding
Ronen Tamari
Gabriel Stanovsky
Dafna Shahaf
Reut Tsarfaty
56
3
0
10 Mar 2020
Compositional Generalization for Primitive Substitutions
Compositional Generalization for Primitive Substitutions
Yuanpeng Li
Liang Zhao
Jianyu Wang
Joel Hestness
72
87
0
07 Oct 2019
Environmental drivers of systematicity and generalization in a situated
  agent
Environmental drivers of systematicity and generalization in a situated agent
Felix Hill
Andrew Kyle Lampinen
R. Schneider
S. Clark
M. Botvinick
James L. McClelland
Adam Santoro
OOD
136
107
0
01 Oct 2019
Do Neural Language Representations Learn Physical Commonsense?
Do Neural Language Representations Learn Physical Commonsense?
Maxwell Forbes
Ari Holtzman
Yejin Choi
NAILRMAI4CE
58
110
0
08 Aug 2019
Mutual exclusivity as a challenge for deep neural networks
Mutual exclusivity as a challenge for deep neural networks
Kanishk Gandhi
Brenden M. Lake
91
14
0
24 Jun 2019
Compositional generalization through meta sequence-to-sequence learning
Compositional generalization through meta sequence-to-sequence learning
Brenden M. Lake
CoGe
112
199
0
12 Jun 2019
The relational processing limits of classic and contemporary neural
  network models of language processing
The relational processing limits of classic and contemporary neural network models of language processing
Guillermo Puebla
Andrea E. Martin
L. Doumas
54
10
0
12 May 2019
Good-Enough Compositional Data Augmentation
Good-Enough Compositional Data Augmentation
Jacob Andreas
107
234
0
21 Apr 2019
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