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Leveraging Language to Learn Program Abstractions and Search Heuristics

Leveraging Language to Learn Program Abstractions and Search Heuristics

18 June 2021
Catherine Wong
Kevin Ellis
J. Tenenbaum
Jacob Andreas
ArXivPDFHTML

Papers citing "Leveraging Language to Learn Program Abstractions and Search Heuristics"

19 / 19 papers shown
Title
TurtleBench: A Visual Programming Benchmark in Turtle Geometry
TurtleBench: A Visual Programming Benchmark in Turtle Geometry
Sina Rismanchian
Yasaman Razeghi
Sameer Singh
Shayan Doroudi
49
1
0
31 Oct 2024
Is Programming by Example solved by LLMs?
Is Programming by Example solved by LLMs?
Wen-Ding Li
Kevin Ellis
37
10
0
12 Jun 2024
Policy Learning with a Language Bottleneck
Policy Learning with a Language Bottleneck
Megha Srivastava
Cédric Colas
Dorsa Sadigh
Jacob Andreas
40
3
0
07 May 2024
Loose LIPS Sink Ships: Asking Questions in Battleship with
  Language-Informed Program Sampling
Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling
Gabriel Grand
Valerio Pepe
Jacob Andreas
Joshua B. Tenenbaum
ReLM
28
6
0
29 Feb 2024
ReGAL: Refactoring Programs to Discover Generalizable Abstractions
ReGAL: Refactoring Programs to Discover Generalizable Abstractions
Elias Stengel-Eskin
Archiki Prasad
Mohit Bansal
25
13
0
29 Jan 2024
Learning a Hierarchical Planner from Humans in Multiple Generations
Learning a Hierarchical Planner from Humans in Multiple Generations
Leonardo Hernandez Cano
Yewen Pu
Robert D. Hawkins
Josh Tenenbaum
Armando Solar-Lezama
23
2
0
17 Oct 2023
LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned
  Symbolic Abstractions
LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions
Zhening Li
Gabriel Poesia
Omar Costilla-Reyes
Noah D. Goodman
Armando Solar-Lezama
15
7
0
16 Nov 2022
lilGym: Natural Language Visual Reasoning with Reinforcement Learning
lilGym: Natural Language Visual Reasoning with Reinforcement Learning
Anne Wu
Kianté Brantley
Noriyuki Kojima
Yoav Artzi
ReLM
OffRL
LRM
24
3
0
03 Nov 2022
Large Language Models Are Human-Level Prompt Engineers
Large Language Models Are Human-Level Prompt Engineers
Yongchao Zhou
Andrei Ioan Muresanu
Ziwen Han
Keiran Paster
Silviu Pitis
Harris Chan
Jimmy Ba
ALM
LLMAG
21
829
0
03 Nov 2022
ObSynth: An Interactive Synthesis System for Generating Object Models
  from Natural Language Specifications
ObSynth: An Interactive Synthesis System for Generating Object Models from Natural Language Specifications
Alex Gu
Tamara Mitrovska
D. Vélez
Jacob Andreas
Armando Solar-Lezama
SyDa
25
1
0
20 Oct 2022
Neurosymbolic Programming for Science
Neurosymbolic Programming for Science
Jennifer J. Sun
Megan Tjandrasuwita
Atharva Sehgal
Armando Solar-Lezama
Swarat Chaudhuri
Yisong Yue
Omar Costilla-Reyes
NAI
37
12
0
10 Oct 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy
How to talk so AI will learn: Instructions, descriptions, and autonomy
T. Sumers
Robert D. Hawkins
Mark K. Ho
Thomas L. Griffiths
Dylan Hadfield-Menell
LM&Ro
32
20
0
16 Jun 2022
Structured, flexible, and robust: benchmarking and improving large
  language models towards more human-like behavior in out-of-distribution
  reasoning tasks
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks
K. M. Collins
Catherine Wong
Jiahai Feng
Megan Wei
J. Tenenbaum
LRM
20
57
0
11 May 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
36
2
0
26 Feb 2022
Using Program Synthesis and Inductive Logic Programming to solve Bongard
  Problems
Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems
Atharv Sonwane
Sharad Chitlangia
T. Dash
L. Vig
Gautam M. Shroff
A. Srinivasan
16
5
0
19 Oct 2021
Program Transfer for Answering Complex Questions over Knowledge Bases
Program Transfer for Answering Complex Questions over Knowledge Bases
S. Cao
Jiaxin Shi
Zijun Yao
Xin Lv
Jifan Yu
Lei Hou
Juanzi Li
Zhiyuan Liu
Jinghui Xiao
35
56
0
12 Oct 2021
Learning to Synthesize Programs as Interpretable and Generalizable
  Policies
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Dweep Trivedi
Jesse Zhang
Shao-Hua Sun
Joseph J. Lim
NAI
24
72
0
31 Aug 2021
DreamCoder: Growing generalizable, interpretable knowledge with
  wake-sleep Bayesian program learning
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Kevin Ellis
Catherine Wong
Maxwell Nye
Mathias Sablé-Meyer
Luc Cary
Lucas Morales
Luke B. Hewitt
Armando Solar-Lezama
J. Tenenbaum
NAI
CLL
12
190
0
15 Jun 2020
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
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