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Compositionality decomposed: how do neural networks generalise?

Compositionality decomposed: how do neural networks generalise?

22 August 2019
Dieuwke Hupkes
Verna Dankers
Mathijs Mul
Elia Bruni
    CoGe
ArXivPDFHTML

Papers citing "Compositionality decomposed: how do neural networks generalise?"

50 / 87 papers shown
Title
Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors
Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors
Lang Feng
Jiahao Lin
Dong Xing
Li Zhang
De Ma
Gang Pan
31
0
0
16 May 2025
Out-of-distribution generalisation is hard: evidence from ARC-like tasks
Out-of-distribution generalisation is hard: evidence from ARC-like tasks
George Dimitriadis
Spyridon Samothrakis
29
0
0
14 May 2025
Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Models
Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Models
Irtaza Khalid
Amir Masoud Nourollah
Steven Schockaert
LRM
52
0
0
30 Mar 2025
Distributional Scaling Laws for Emergent Capabilities
Distributional Scaling Laws for Emergent Capabilities
Rosie Zhao
Tian Qin
David Alvarez-Melis
Sham Kakade
Naomi Saphra
LRM
41
1
0
24 Feb 2025
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Nayoung Lee
Ziyang Cai
Avi Schwarzschild
Kangwook Lee
Dimitris Papailiopoulos
ReLM
VLM
LRM
AI4CE
83
4
0
03 Feb 2025
Strassen Attention: Unlocking Compositional Abilities in Transformers Based on a New Lower Bound Method
Strassen Attention: Unlocking Compositional Abilities in Transformers Based on a New Lower Bound Method
Alexander Kozachinskiy
Felipe Urrutia
Hector Jimenez
Tomasz Steifer
Germán Pizarro
Matías Fuentes
Francisco Meza
Cristian Buc
Cristóbal Rojas
63
1
0
31 Jan 2025
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
Yutong Yin
Zhaoran Wang
LRM
ReLM
199
0
0
27 Jan 2025
A Complexity-Based Theory of Compositionality
A Complexity-Based Theory of Compositionality
Eric Elmoznino
Thomas Jiralerspong
Yoshua Bengio
Guillaume Lajoie
CoGe
64
5
0
18 Oct 2024
Compositional Risk Minimization
Compositional Risk Minimization
Divyat Mahajan
Mohammad Pezeshki
Ioannis Mitliagkas
Kartik Ahuja
Pascal Vincent
Pascal Vincent
26
3
0
08 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
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models
Philipp Mondorf
Sondre Wold
Barbara Plank
39
0
0
02 Oct 2024
Can Models Learn Skill Composition from Examples?
Can Models Learn Skill Composition from Examples?
Haoyu Zhao
Simran Kaur
Dingli Yu
Anirudh Goyal
Sanjeev Arora
CoGe
MoE
61
3
0
29 Sep 2024
Can Transformers Do Enumerative Geometry?
Can Transformers Do Enumerative Geometry?
Baran Hashemi
Roderic G. Corominas
Alessandro Giacchetto
44
2
0
27 Aug 2024
Teaching Transformers Causal Reasoning through Axiomatic Training
Teaching Transformers Causal Reasoning through Axiomatic Training
Aniket Vashishtha
Abhinav Kumar
Abbavaram Gowtham Reddy
Vineeth N. Balasubramanian
Amit Sharma
Vineeth N Balasubramanian
Amit Sharma
42
2
0
10 Jul 2024
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions
Yu-Guan Hsieh
Cheng-Yu Hsieh
Shih-Ying Yeh
Louis Béthune
Hadi Pour Ansari
Pavan Kumar Anasosalu Vasu
Chun-Liang Li
Ranjay Krishna
Oncel Tuzel
Marco Cuturi
66
4
0
09 Jul 2024
Compositional Models for Estimating Causal Effects
Compositional Models for Estimating Causal Effects
Purva Pruthi
David D. Jensen
CML
67
0
0
25 Jun 2024
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
Lynn Chua
Badih Ghazi
Yangsibo Huang
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Amer Sinha
Chulin Xie
Chiyuan Zhang
66
1
0
23 Jun 2024
Compositional Generalization with Grounded Language Models
Compositional Generalization with Grounded Language Models
Sondre Wold
Étienne Simon
Lucas Georges Gabriel Charpentier
Egor V. Kostylev
Erik Velldal
Lilja Øvrelid
KELM
31
1
0
07 Jun 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
NAI
CoGe
73
6
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
81
3
0
24 May 2024
Inducing Systematicity in Transformers by Attending to Structurally
  Quantized Embeddings
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings
Yichen Jiang
Xiang Zhou
Mohit Bansal
35
1
0
09 Feb 2024
On the generalization capacity of neural networks during generic
  multimodal reasoning
On the generalization capacity of neural networks during generic multimodal reasoning
Takuya Ito
Soham Dan
Mattia Rigotti
James Kozloski
Murray Campbell
LRM
40
2
0
26 Jan 2024
Compositional Capabilities of Autoregressive Transformers: A Study on
  Synthetic, Interpretable Tasks
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
Rahul Ramesh
Ekdeep Singh Lubana
Mikail Khona
Robert P. Dick
Hidenori Tanaka
CoGe
39
7
0
21 Nov 2023
On Using Distribution-Based Compositionality Assessment to Evaluate
  Compositional Generalisation in Machine Translation
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation
Anssi Moisio
Mathias Creutz
M. Kurimo
CoGe
19
1
0
14 Nov 2023
Uncovering Intermediate Variables in Transformers using Circuit Probing
Uncovering Intermediate Variables in Transformers using Circuit Probing
Michael A. Lepori
Thomas Serre
Ellie Pavlick
78
7
0
07 Nov 2023
Beyond Task Performance: Evaluating and Reducing the Flaws of Large
  Multimodal Models with In-Context Learning
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning
Mustafa Shukor
Alexandre Ramé
Corentin Dancette
Matthieu Cord
LRM
MLLM
46
20
0
01 Oct 2023
Teaching Smaller Language Models To Generalise To Unseen Compositional
  Questions
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions
Tim Hartill
N. Tan
Michael Witbrock
Patricia J. Riddle
ReLM
KELM
LRM
34
2
0
02 Aug 2023
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine
  Translation through Phrase Pair Variables
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables
Ali Araabi
Vlad Niculae
Christof Monz
52
1
0
24 Jul 2023
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling
  Human-Object Interaction
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction
Hung Tran
Vuong Le
Svetha Venkatesh
T. Tran
33
1
0
24 Jul 2023
Large Language Models as General Pattern Machines
Large Language Models as General Pattern Machines
Suvir Mirchandani
F. Xia
Peter R. Florence
Brian Ichter
Danny Driess
Montse Gonzalez Arenas
Kanishka Rao
Dorsa Sadigh
Andy Zeng
LLMAG
59
185
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
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
37
2
0
23 May 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?
Da Xu
Bo Yang
30
3
0
09 Apr 2023
Towards Zero-Shot Functional Compositionality of Language Models
Towards Zero-Shot Functional Compositionality of Language Models
Hangyeol Yu
Myeongho Jeong
Jamin Shin
Hyeongdon Moon
Juneyoung Park
Seungtaek Choi
37
1
0
06 Mar 2023
Linear Spaces of Meanings: Compositional Structures in Vision-Language
  Models
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models
Matthew Trager
Pramuditha Perera
L. Zancato
Alessandro Achille
Parminder Bhatia
Stefano Soatto
CoGe
38
30
0
28 Feb 2023
Sequential Query Encoding For Complex Query Answering on Knowledge
  Graphs
Sequential Query Encoding For Complex Query Answering on Knowledge Graphs
Jiaxin Bai
Tianshi Zheng
Yangqiu Song
24
13
0
25 Feb 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMe
OOD
32
73
0
22 Feb 2023
Recursive Neural Networks with Bottlenecks Diagnose
  (Non-)Compositionality
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality
Verna Dankers
Ivan Titov
33
2
0
31 Jan 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
Emmanuel Abbe
Samy Bengio
Aryo Lotfi
Kevin Rizk
LRM
41
49
0
30 Jan 2023
Dissociating language and thought in large language models
Dissociating language and thought in large language models
Kyle Mahowald
Anna A. Ivanova
I. Blank
Nancy Kanwisher
J. Tenenbaum
Evelina Fedorenko
ELM
ReLM
29
209
0
16 Jan 2023
Language model acceptability judgements are not always robust to context
Language model acceptability judgements are not always robust to context
Koustuv Sinha
Jon Gauthier
Aaron Mueller
Kanishka Misra
Keren Fuentes
R. Levy
Adina Williams
23
17
0
18 Dec 2022
NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect
  Reasoning in Programmable Attractor Neural Networks
NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks
Gregory P. Davis
Garrett E. Katz
R. Gentili
J. Reggia
NAI
35
1
0
11 Nov 2022
Structural generalization is hard for sequence-to-sequence models
Structural generalization is hard for sequence-to-sequence models
Yuekun Yao
Alexander Koller
30
21
0
24 Oct 2022
CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of
  Known Functions, and Compatibility of Neural Representations
CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations
Róbert Csordás
Kazuki Irie
Jürgen Schmidhuber
NAI
19
11
0
12 Oct 2022
Are Representations Built from the Ground Up? An Empirical Examination
  of Local Composition in Language Models
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models
Emmy Liu
Graham Neubig
CoGe
21
10
0
07 Oct 2022
Measuring and Narrowing the Compositionality Gap in Language Models
Measuring and Narrowing the Compositionality Gap in Language Models
Ofir Press
Muru Zhang
Sewon Min
Ludwig Schmidt
Noah A. Smith
M. Lewis
ReLM
KELM
LRM
54
561
0
07 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
129
95
0
06 Oct 2022
Neural-Symbolic Recursive Machine for Systematic Generalization
Neural-Symbolic Recursive Machine for Systematic Generalization
Qing Li
Yixin Zhu
Yitao Liang
Ying Nian Wu
Song-Chun Zhu
Siyuan Huang
NAI
40
9
0
04 Oct 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
Equivariant Transduction through Invariant Alignment
Equivariant Transduction through Invariant Alignment
Jennifer C. White
Ryan Cotterell
19
4
0
22 Sep 2022
Benchmarking Compositionality with Formal Languages
Benchmarking Compositionality with Formal Languages
Josef Valvoda
Naomi Saphra
Jonathan Rawski
Adina Williams
Ryan Cotterell
NAI
CoGe
38
8
0
17 Aug 2022
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