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Neural Execution Engines: Learning to Execute Subroutines

Neural Execution Engines: Learning to Execute Subroutines

15 June 2020
Yujun Yan
Kevin Swersky
Danai Koutra
Parthasarathy Ranganathan
Milad Hashemi
    NAI
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Papers citing "Neural Execution Engines: Learning to Execute Subroutines"

14 / 14 papers shown
Title
L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program Execution
L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program Execution
Simeng Sun
Cheng-Ping Hsieh
Faisal Ladhak
Erik Arakelyan
Santiago Akle Serano
Boris Ginsburg
ReLM
ELM
LRM
220
0
0
28 Mar 2025
SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors
SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors
Bohan Lyu
Siqiao Huang
Zichen Liang
Qi-An Sun
Jiaming Zhang
ELM
LRM
62
0
0
16 Feb 2025
Neural Algorithmic Reasoning Without Intermediate Supervision
Neural Algorithmic Reasoning Without Intermediate Supervision
Gleb Rodionov
Liudmila Prokhorenkova
OffRL
LRM
OOD
34
10
0
23 Jun 2023
Neuro-Symbolic Execution of Generic Source Code
Neuro-Symbolic Execution of Generic Source Code
Yaojie Hu
Jin Tian
NAI
35
0
0
23 Mar 2023
Learnable Commutative Monoids for Graph Neural Networks
Learnable Commutative Monoids for Graph Neural Networks
Euan Ong
Petar Velickovic
18
13
0
16 Dec 2022
Reducing Collision Checking for Sampling-Based Motion Planning Using
  Graph Neural Networks
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Chen-Ping Yu
Sicun Gao
37
47
0
17 Oct 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of
  Deep Neural Networks
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
AAML
AI4CE
28
124
0
27 Jul 2022
The CLRS Algorithmic Reasoning Benchmark
The CLRS Algorithmic Reasoning Benchmark
Petar Velivcković
Adria Puigdomenech Badia
David Budden
Razvan Pascanu
Andrea Banino
Mikhail Dashevskiy
R. Hadsell
Charles Blundell
163
89
0
31 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
447
8,650
0
28 Jan 2022
State-Space Constraints Improve the Generalization of the Differentiable
  Neural Computer in some Algorithmic Tasks
State-Space Constraints Improve the Generalization of the Differentiable Neural Computer in some Algorithmic Tasks
P. Ofner
Roman Kern
30
1
0
18 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
Latent Execution for Neural Program Synthesis
Latent Execution for Neural Program Synthesis
Xinyun Chen
D. Song
Yuandong Tian
NAI
26
52
0
29 Jun 2021
Persistent Message Passing
Persistent Message Passing
Heiko Strathmann
M. Barekatain
Charles Blundell
Petar Velickovic
33
15
0
01 Mar 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph
  Convolutional Neural Networks
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Yujun Yan
Milad Hashemi
Kevin Swersky
Yaoqing Yang
Danai Koutra
38
249
0
12 Feb 2021
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