ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1804.01186
  4. Cited By
Neural-Guided Deductive Search for Real-Time Program Synthesis from
  Examples

Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples

3 April 2018
Ashwin J. Vijayakumar
Abhishek Mohta
Oleksandr Polozov
Dhruv Batra
Prateek Jain
Sumit Gulwani
    NAI
ArXivPDFHTML

Papers citing "Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples"

23 / 23 papers shown
Title
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark
Ruizhong Qiu
Weiliang Will Zeng
Hanghang Tong
James Ezick
Christopher Lott
90
16
0
20 Feb 2025
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
Jipeng Han
42
0
0
02 Oct 2024
Learning Program Behavioral Models from Synthesized Input-Output Pairs
Learning Program Behavioral Models from Synthesized Input-Output Pairs
Tural Mammadov
Dietrich Klakow
Alexander Koller
Andreas Zeller
45
3
0
11 Jul 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
Learning-Based Automatic Synthesis of Software Code and Configuration
Learning-Based Automatic Synthesis of Software Code and Configuration
Shantanu Mandal
38
0
0
25 May 2023
Improved Tree Search for Automatic Program Synthesis
Improved Tree Search for Automatic Program Synthesis
Aran Carmon
Lior Wolf
31
0
0
13 Mar 2023
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
Neurosymbolic Repair for Low-Code Formula Languages
Neurosymbolic Repair for Low-Code Formula Languages
Rohan Bavishi
Harshit Joshi
José Pablo Cambronero Sánchez
Anna Fariha
Sumit Gulwani
Vu Le
Ivan Radicek
A. Tiwari
16
13
0
24 Jul 2022
Latent Execution for Neural Program Synthesis
Latent Execution for Neural Program Synthesis
Xinyun Chen
D. Song
Yuandong Tian
NAI
29
52
0
29 Jun 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed
  Environments
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Yichen Yang
J. Inala
Osbert Bastani
Yewen Pu
Armando Solar-Lezama
Martin Rinard
42
12
0
22 Feb 2021
Learning to Execute Programs with Instruction Pointer Attention Graph
  Neural Networks
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
David Bieber
Charles Sutton
Hugo Larochelle
Daniel Tarlow
GNN
27
43
0
23 Oct 2020
A Systematic Literature Review on the Use of Deep Learning in Software
  Engineering Research
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Cody Watson
Nathan Cooper
David Nader-Palacio
Kevin Moran
Denys Poshyvanyk
26
111
0
14 Sep 2020
Grammar Filtering For Syntax-Guided Synthesis
Grammar Filtering For Syntax-Guided Synthesis
K. Morton
William T. Hallahan
Elven Shum
R. Piskac
Mark Santolucito
36
10
0
07 Feb 2020
Comparison of Syntactic and Semantic Representations of Programs in
  Neural Embeddings
Comparison of Syntactic and Semantic Representations of Programs in Neural Embeddings
Austin P. Wright
H. Wiklicky
GNN
NAI
21
0
0
24 Jan 2020
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
349
0
25 Sep 2019
Neural Probabilistic Logic Programming in DeepProbLog
Neural Probabilistic Logic Programming in DeepProbLog
Robin Manhaeve
Sebastijan Dumancic
Angelika Kimmig
T. Demeester
Luc de Raedt
NAI
40
542
0
18 Jul 2019
Program Synthesis and Semantic Parsing with Learned Code Idioms
Program Synthesis and Semantic Parsing with Learned Code Idioms
Richard Shin
Miltiadis Allamanis
Marc Brockschmidt
Oleksandr Polozov
24
87
0
26 Jun 2019
Learning Execution through Neural Code Fusion
Learning Execution through Neural Code Fusion
Zhan Shi
Kevin Swersky
Daniel Tarlow
Parthasarathy Ranganathan
Milad Hashemi
GNN
21
29
0
17 Jun 2019
Write, Execute, Assess: Program Synthesis with a REPL
Write, Execute, Assess: Program Synthesis with a REPL
Kevin Ellis
Maxwell Nye
Yewen Pu
Felix Sosa
J. Tenenbaum
Armando Solar-Lezama
30
166
0
09 Jun 2019
Learning to Infer Program Sketches
Learning to Infer Program Sketches
Maxwell Nye
Luke B. Hewitt
J. Tenenbaum
Armando Solar-Lezama
NAI
18
113
0
17 Feb 2019
Automatic Program Synthesis of Long Programs with a Learned Garbage
  Collector
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
Amit Zohar
Lior Wolf
36
78
0
12 Sep 2018
Neural Guided Constraint Logic Programming for Program Synthesis
Neural Guided Constraint Logic Programming for Program Synthesis
Lisa Zhang
Gregory Rosenblatt
Ethan Fetaya
Renjie Liao
William E. Byrd
M. Might
R. Urtasun
R. Zemel
NAI
11
30
0
08 Sep 2018
HOUDINI: Lifelong Learning as Program Synthesis
HOUDINI: Lifelong Learning as Program Synthesis
Lazar Valkov
Dipak Chaudhari
Akash Srivastava
Charles Sutton
Swarat Chaudhuri
24
79
0
31 Mar 2018
1