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Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus

Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus

18 October 2022
Yudong Xu
Elias Boutros Khalil
Scott Sanner
    GNN
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Papers citing "Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus"

22 / 22 papers shown
Title
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More
Arvid Frydenlund
LRM
52
0
0
13 Mar 2025
Abductive Symbolic Solver on Abstraction and Reasoning Corpus
Abductive Symbolic Solver on Abstraction and Reasoning Corpus
Mintaek Lim
Seokki Lee
Liyew Woletemaryam Abitew
Sundong Kim
127
1
0
27 Nov 2024
System 2 Reasoning via Generality and Adaptation
System 2 Reasoning via Generality and Adaptation
Sejin Kim
Sundong Kim
LRM
AI4CE
76
0
0
10 Oct 2024
Tackling the Abstraction and Reasoning Corpus with Vision Transformers:
  the Importance of 2D Representation, Positions, and Objects
Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects
Wenhao Li
Yudong Xu
Scott Sanner
Elias Boutros Khalil
ViT
39
3
0
08 Oct 2024
Relational decomposition for program synthesis
Relational decomposition for program synthesis
Céline Hocquette
Andrew Cropper
42
4
0
22 Aug 2024
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for
  Reinforcement Learning
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
Hosung Lee
Sejin Kim
Seungpil Lee
Sanha Hwang
Jihwan Lee
Byung-Jun Lee
Sundong Kim
LRM
37
8
0
30 Jul 2024
Intelligence Analysis of Language Models
Intelligence Analysis of Language Models
Liane Galanti
Ethan Baron
LRM
39
1
0
20 Jul 2024
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
Shraddha Barke
Emmanuel Anaya Gonzalez
Saketh Ram Kasibatla
Taylor Berg-Kirkpatrick
Nadia Polikarpova
46
5
0
24 May 2024
Reasoning Abilities of Large Language Models: In-Depth Analysis on the
  Abstraction and Reasoning Corpus
Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus
Seungpil Lee
Woochang Sim
Donghyeon Shin
Sanha Hwang
Wongyu Seo
Jiwon Park
Seokki Lee
Sejin Kim
Sundong Kim
LRM
47
19
0
18 Mar 2024
Neural networks for abstraction and reasoning: Towards broad
  generalization in machines
Neural networks for abstraction and reasoning: Towards broad generalization in machines
Mikel Bober-Irizar
Soumya Banerjee
AI4CE
LRM
NAI
40
7
0
05 Feb 2024
Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language
  Conversion for Language Models
Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models
Yile Wang
Sijie Cheng
Zixin Sun
Peng Li
Yang Liu
ReLM
LRM
32
4
0
22 Jan 2024
Generalized Planning for the Abstraction and Reasoning Corpus
Generalized Planning for the Abstraction and Reasoning Corpus
Chao Lei
N. Lipovetzky
Krista A. Ehinger
LRM
AI4CE
66
10
0
15 Jan 2024
Solving ARC visual analogies with neural embeddings and vector
  arithmetic: A generalized method
Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method
Luca H. Thoms
Karel A. Veldkamp
Hannes Rosenbusch
Claire E. Stevenson
DML
40
5
0
14 Nov 2023
Tackling the Abstraction and Reasoning Corpus (ARC) with Object-centric
  Models and the MDL Principle
Tackling the Abstraction and Reasoning Corpus (ARC) with Object-centric Models and the MDL Principle
Sébastien Ferré
LRM
52
2
0
01 Nov 2023
Large Language Model (LLM) as a System of Multiple Expert Agents: An
  Approach to solve the Abstraction and Reasoning Corpus (ARC) Challenge
Large Language Model (LLM) as a System of Multiple Expert Agents: An Approach to solve the Abstraction and Reasoning Corpus (ARC) Challenge
J. Tan
Mehul Motani
LLMAG
44
8
0
08 Oct 2023
Hypothesis Search: Inductive Reasoning with Language Models
Hypothesis Search: Inductive Reasoning with Language Models
Ruocheng Wang
E. Zelikman
Gabriel Poesia
Yewen Pu
Nick Haber
Noah D. Goodman
ReLM
LRM
31
97
0
11 Sep 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
57
185
0
10 Jul 2023
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric
  Decision Transformer
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer
Jaehyun Park
Jaegyun Im
Sanha Hwang
Mintaek Lim
Sabina Ualibekova
Sejin Kim
Sundong Kim
AI4CE
22
12
0
14 Jun 2023
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and
  the Importance of Object-based Representations
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations
Yudong Xu
Wenhao Li
Pashootan Vaezipoor
Scott Sanner
Elias Boutros Khalil
LRM
31
54
0
26 May 2023
The ConceptARC Benchmark: Evaluating Understanding and Generalization in
  the ARC Domain
The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain
A. Moskvichev
Victor Vikram Odouard
Melanie Mitchell
28
67
0
11 May 2023
Abstract Visual Reasoning Enabled by Language
Abstract Visual Reasoning Enabled by Language
Giacomo Camposampiero
Loic Houmard
Benjamin Estermann
Joël Mathys
Roger Wattenhofer
LRM
48
12
0
07 Mar 2023
Neural-guided, Bidirectional Program Search for Abstraction and
  Reasoning
Neural-guided, Bidirectional Program Search for Abstraction and Reasoning
Simon Alford
Anshul Gandhi
Akshay Rangamani
Andrzej Banburski
Tony Wang
Sylee Dandekar
John Chin
T. Poggio
S. Chin
LRM
103
21
0
22 Oct 2021
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