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Standard Neural Computation Alone Is Insufficient for Logical Intelligence

Standard Neural Computation Alone Is Insufficient for Logical Intelligence

4 February 2025
Youngsung Kim
    NAI
ArXivPDFHTML

Papers citing "Standard Neural Computation Alone Is Insufficient for Logical Intelligence"

20 / 20 papers shown
Title
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to
  Determinacy
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy
Hongda Sun
Weikai Xu
Wei Liu
Jian Luan
Bin Wang
Shuo Shang
Ji-Rong Wen
Rui Yan
LRM
103
26
0
28 Oct 2023
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Shunyu Yao
Dian Yu
Jeffrey Zhao
Izhak Shafran
Thomas Griffiths
Yuan Cao
Karthik Narasimhan
LM&Ro
LRM
AI4CE
138
1,949
0
17 May 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
Large Language Models Can Be Easily Distracted by Irrelevant Context
Freda Shi
Xinyun Chen
Kanishka Misra
Nathan Scales
David Dohan
Ed H. Chi
Nathanael Scharli
Denny Zhou
ReLM
RALM
LRM
98
583
0
31 Jan 2023
Selection-Inference: Exploiting Large Language Models for Interpretable
  Logical Reasoning
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell
Murray Shanahan
I. Higgins
ReLM
LRM
97
362
0
19 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
814
9,387
0
28 Jan 2022
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Prithviraj Sen
B. W. Carvalho
Ryan Riegel
Alexander G. Gray
NAI
AI4CE
119
59
0
06 Dec 2021
From Statistical Relational to Neurosymbolic Artificial Intelligence: a
  Survey
From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey
Giuseppe Marra
Sebastijan Dumancic
Robin Manhaeve
Luc de Raedt
NAI
48
61
0
25 Aug 2021
Explaining Neural Scaling Laws
Explaining Neural Scaling Laws
Yasaman Bahri
Ethan Dyer
Jared Kaplan
Jaehoon Lee
Utkarsh Sharma
62
261
0
12 Feb 2021
Neurosymbolic AI: The 3rd Wave
Neurosymbolic AI: The 3rd Wave
Artur Garcez
Luís C. Lamb
NAI
90
308
0
10 Dec 2020
Logical Neural Networks
Logical Neural Networks
Ryan Riegel
Alexander G. Gray
F. Luus
Naweed Khan
Ndivhuwo Makondo
...
S. Ikbal
Hima P. Karanam
S. Neelam
Ankita Likhyani
S. Srivastava
NAI
40
150
0
23 Jun 2020
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
Luc de Raedt
Sebastijan Dumancic
Robin Manhaeve
Giuseppe Marra
NAI
49
103
0
18 Mar 2020
Analyzing Differentiable Fuzzy Logic Operators
Analyzing Differentiable Fuzzy Logic Operators
Emile van Krieken
Erman Acar
F. V. Harmelen
NAI
AI4CE
86
134
0
14 Feb 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
602
4,801
0
23 Jan 2020
Neural Probabilistic Logic Programming in DeepProbLog
Neural Probabilistic Logic Programming in DeepProbLog
Robin Manhaeve
Sebastijan Dumancic
Angelika Kimmig
T. Demeester
Luc de Raedt
NAI
91
555
0
18 Jul 2019
SATNet: Bridging deep learning and logical reasoning using a
  differentiable satisfiability solver
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
Po-Wei Wang
P. Donti
Bryan Wilder
Zico Kolter
LRM
NAI
76
262
0
29 May 2019
Neural-Symbolic Computing: An Effective Methodology for Principled
  Integration of Machine Learning and Reasoning
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Artur Garcez
Marco Gori
Luís C. Lamb
Luciano Serafini
Michael Spranger
Son N. Tran
NAI
97
292
0
15 May 2019
Neural Logic Machines
Neural Logic Machines
Honghua Dong
Jiayuan Mao
Tian Lin
Chong-Jun Wang
Lihong Li
Denny Zhou
NAI
LRM
AI4CE
127
249
0
26 Apr 2019
Learning Algorithms via Neural Logic Networks
Learning Algorithms via Neural Logic Networks
Ali Payani
Faramarz Fekri
NAI
42
29
0
02 Apr 2019
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
Tarek R. Besold
Artur Garcez
Sebastian Bader
Howard L. Bowman
Pedro M. Domingos
...
P. Lima
L. Penning
Gadi Pinkas
Hoifung Poon
Gerson Zaverucha
LRM
AI4CE
68
344
0
10 Nov 2017
End-to-End Differentiable Proving
End-to-End Differentiable Proving
Tim Rocktaschel
Sebastian Riedel
NAI
96
381
0
31 May 2017
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