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Communicating Natural Programs to Humans and Machines

Communicating Natural Programs to Humans and Machines

15 June 2021
Samuel Acquaviva
Yewen Pu
Marta Kryven
Theo Sechopoulos
Catherine Wong
Gabrielle Ecanow
Maxwell Nye
Michael Henry Tessler
J. Tenenbaum
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Papers citing "Communicating Natural Programs to Humans and Machines"

14 / 14 papers shown
Title
Cognitive maps are generative programs
Cognitive maps are generative programs
Marta Kryven
Cole Wyeth
Aidan Curtis
Kevin Ellis
41
0
0
29 Apr 2025
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding
Mo Yu
Lemao Liu
J. Wu
Tsz Ting Chung
Shunchi Zhang
JiangNan Li
Dit-Yan Yeung
Jie Zhou
77
1
0
13 Feb 2025
H-ARC: A Robust Estimate of Human Performance on the Abstraction and
  Reasoning Corpus Benchmark
H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark
Solim LeGris
Wai Keen Vong
Brenden Lake
Todd M. Gureckis
LRM
27
6
0
02 Sep 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
35
8
0
30 Jul 2024
Program Synthesis using Inductive Logic Programming for the Abstraction
  and Reasoning Corpus
Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus
Filipe Marinho Rocha
Ines Dutra
Vítor Santos Costa
LRM
35
2
0
10 May 2024
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
26
8
0
08 Oct 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
21
54
0
26 May 2023
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus
Yudong Xu
Elias Boutros Khalil
Scott Sanner
GNN
16
29
0
18 Oct 2022
Toward Trustworthy Neural Program Synthesis
Toward Trustworthy Neural Program Synthesis
Darren Key
Wen-Ding Li
Kevin Ellis
NAI
83
5
0
29 Sep 2022
SemSup: Semantic Supervision for Simple and Scalable Zero-shot
  Generalization
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization
Austin W. Hanjie
A. Deshpande
Karthik Narasimhan
VLM
17
2
0
26 Feb 2022
Skill Induction and Planning with Latent Language
Skill Induction and Planning with Latent Language
Pratyusha Sharma
Antonio Torralba
Jacob Andreas
LM&Ro
190
108
0
04 Oct 2021
Constrained Language Models Yield Few-Shot Semantic Parsers
Constrained Language Models Yield Few-Shot Semantic Parsers
Richard Shin
C. H. Lin
Sam Thomson
Charles C. Chen
Subhro Roy
Emmanouil Antonios Platanios
Adam Pauls
Dan Klein
J. Eisner
Benjamin Van Durme
290
196
0
18 Apr 2021
Task-Oriented Dialogue as Dataflow Synthesis
Task-Oriented Dialogue as Dataflow Synthesis
Semantic Machines
Jacob Andreas
J. Bufe
David Burkett
Charles C. Chen
...
Izabela Witoszko
Jason Wolfe
A. Wray
Yuchen Zhang
Alexander Zotov
AIFin
182
151
0
24 Sep 2020
Simpler Context-Dependent Logical Forms via Model Projections
Simpler Context-Dependent Logical Forms via Model Projections
R. Long
Panupong Pasupat
Percy Liang
196
102
0
16 Jun 2016
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