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Program Synthesis using Inductive Logic Programming for the Abstraction
  and Reasoning Corpus

Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus

10 May 2024
Filipe Marinho Rocha
Ines Dutra
Vítor Santos Costa
    LRM
ArXivPDFHTML

Papers citing "Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus"

14 / 14 papers shown
Title
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
57
23
0
18 Mar 2024
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Natasha Butt
Blazej Manczak
Auke Wiggers
Corrado Rainone
David W. Zhang
Michaël Defferrard
Taco S. Cohen
ReLM
LRM
63
19
0
07 Feb 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
67
9
0
05 Feb 2024
Generalized Planning for the Abstraction and Reasoning Corpus
Generalized Planning for the Abstraction and Reasoning Corpus
Chao Lei
Nir Lipovetzky
Krista A. Ehinger
LRM
AI4CE
91
11
0
15 Jan 2024
Assessing GPT4-V on Structured Reasoning Tasks
Assessing GPT4-V on Structured Reasoning Tasks
Mukul Singh
J. Cambronero
Sumit Gulwani
Vu Le
Gust Verbruggen
LRM
57
13
0
13 Dec 2023
Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks
Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks
Melanie Mitchell
Alessandro B. Palmarini
A. Moskvichev
LRM
67
55
0
14 Nov 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
44
60
0
26 May 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Chao Yu
Xuejing Zheng
H. Zhuo
OffRL
LRM
84
8
0
24 Apr 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
1.4K
14,313
0
15 Mar 2023
A Divide-Align-Conquer Strategy for Program Synthesis
A Divide-Align-Conquer Strategy for Program Synthesis
Jonas T. Witt
Stef Rasing
Sebastijan Dumanvcić
Tias Guns
C. Carbon
25
7
0
08 Jan 2023
Communicating Natural Programs to Humans and Machines
Communicating Natural Programs to Humans and Machines
Samuel Acquaviva
Yewen Pu
Marta Kryven
Theo Sechopoulos
Catherine Wong
Gabrielle Ecanow
Maxwell Nye
Michael Henry Tessler
J. Tenenbaum
48
41
0
15 Jun 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
32
32
0
10 Mar 2021
Inductive logic programming at 30
Inductive logic programming at 30
Andrew Cropper
Sebastijan Dumancic
Richard Evans
Stephen Muggleton
AI4CE
57
77
0
21 Feb 2021
Deep Learning: A Critical Appraisal
Deep Learning: A Critical Appraisal
G. Marcus
HAI
VLM
122
1,040
0
02 Jan 2018
1