ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.05876
  4. Cited By
Neurosymbolic AI: The 3rd Wave
v1v2 (latest)

Neurosymbolic AI: The 3rd Wave

Artificial Intelligence Review (AIR), 2020
10 December 2020
Artur Garcez
Luís C. Lamb
    NAI
ArXiv (abs)PDFHTML

Papers citing "Neurosymbolic AI: The 3rd Wave"

50 / 162 papers shown
Bayesian Statistical Modeling with Predictors from LLMs
Bayesian Statistical Modeling with Predictors from LLMs
Michael Franke
Polina Tsvilodub
Fausto Carcassi
183
8
0
13 Jun 2024
On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios
On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios
Stylianos Loukas Vasileiou
William Yeoh
Alessandro Previti
Tran Cao Son
222
1
0
29 May 2024
IID Relaxation by Logical Expressivity: A Research Agenda for Fitting
  Logics to Neurosymbolic Requirements
IID Relaxation by Logical Expressivity: A Research Agenda for Fitting Logics to Neurosymbolic Requirements
M. Stol
Alessandra Mileo
197
1
0
30 Apr 2024
Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey
  Beyond 6G
Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G
Walid Saad
Omar Hashash
Christo Kurisummoottil Thomas
Christina Chaccour
Merouane Debbah
N. Mandayam
Zhu Han
AI4CE
352
52
0
29 Apr 2024
Towards Incremental Learning in Large Language Models: A Critical Review
Towards Incremental Learning in Large Language Models: A Critical Review
M. Jovanovic
Peter Voss
ELMCLLKELM
588
8
0
28 Apr 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond
  Closed-Form Equations
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations
Krzysztof Kacprzyk
M. Schaar
225
2
0
15 Apr 2024
Comprehensible Artificial Intelligence on Knowledge Graphs: A survey
Comprehensible Artificial Intelligence on Knowledge Graphs: A surveyJournal of Web Semantics (Web Semantics), 2023
Simon Schramm
C. Wehner
Ute Schmid
229
37
0
04 Apr 2024
Supporting Energy Policy Research with Large Language Models
Supporting Energy Policy Research with Large Language Models
Grant Buster
Pavlo Pinchuk
Jacob Barrons
Ryan McKeever
Aaron Levine
Anthony Lopez
102
10
0
19 Mar 2024
Fuzzy Datalog$^\exists$ over Arbitrary t-Norms
Fuzzy Datalog∃^\exists∃ over Arbitrary t-Norms
Matthias Lanzinger
Stefano Sferrazza
P. Walega
Georg Gottlob
NAIAI4CE
106
0
0
05 Mar 2024
NeSy is alive and well: A LLM-driven symbolic approach for better code
  comment data generation and classification
NeSy is alive and well: A LLM-driven symbolic approach for better code comment data generation and classification
Hanna Abi Akl
249
0
0
25 Feb 2024
Three Pathways to Neurosymbolic Reinforcement Learning with
  Interpretable Model and Policy Networks
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks
Peter Graf
Patrick Emami
180
3
0
07 Feb 2024
How Realistic Is Your Synthetic Data? Constraining Deep Generative
  Models for Tabular Data
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
Mihaela C. Stoian
Salijona Dyrmishi
Maxime Cordy
Thomas Lukasiewicz
Eleonora Giunchiglia
177
26
0
07 Feb 2024
Symbol Correctness in Deep Neural Networks Containing Symbolic Layers
Symbol Correctness in Deep Neural Networks Containing Symbolic Layers
Aaron Bembenek
Toby Murray
NAI
317
1
0
06 Feb 2024
SymbolicAI: A framework for logic-based approaches combining generative
  models and solvers
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Marius-Constantin Dinu
Claudiu Leoveanu-Condrei
Markus Holzleitner
Werner Zellinger
Sepp Hochreiter
311
18
0
01 Feb 2024
Combining Machine Learning and Ontology: A Systematic Literature Review
Combining Machine Learning and Ontology: A Systematic Literature Review
Sarah Ghidalia
Ouassila Labbani-Narsis
Aurélie Bertaux
Christophe Nicolle
AI4CE
225
19
0
15 Jan 2024
A Survey on Verification and Validation, Testing and Evaluations of
  Neurosymbolic Artificial Intelligence
A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence
Justus Renkhoff
Ke-ke Feng
Marc Meier-Doernberg
Alvaro Velasquez
Houbing Herbert Song
324
16
0
06 Jan 2024
Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced
  Reasoning in Neural Models (ASPER)
Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER)
Fadi Al Machot
159
2
0
18 Dec 2023
Neurosymbolic Value-Inspired AI (Why, What, and How)
Neurosymbolic Value-Inspired AI (Why, What, and How)
Amit P. Sheth
Kaushik Roy
157
7
0
15 Dec 2023
nuScenes Knowledge Graph -- A comprehensive semantic representation of
  traffic scenes for trajectory prediction
nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction
Leon Mlodzian
Zhigang Sun
Hendrik Berkemeyer
Sebastian Monka
Zixu Wang
Stefan Dietze
Lavdim Halilaj
J. Luettin
164
11
0
15 Dec 2023
How to Raise a Robot -- A Case for Neuro-Symbolic AI in Constrained Task
  Planning for Humanoid Assistive Robots
How to Raise a Robot -- A Case for Neuro-Symbolic AI in Constrained Task Planning for Humanoid Assistive Robots
Niklas Hemken
F. Jacob
Fabian Peller-Konrad
Rainer Kartmann
Tamim Asfour
Hannes Hartenstein
226
1
0
14 Dec 2023
On the Multiple Roles of Ontologies in Explainable AI
On the Multiple Roles of Ontologies in Explainable AI
Roberto Confalonieri
G. Guizzardi
138
10
0
08 Nov 2023
Concept-based Anomaly Detection in Retail Stores for Automatic
  Correction using Mobile Robots
Concept-based Anomaly Detection in Retail Stores for Automatic Correction using Mobile RobotsIEEE International Conference on Systems, Man and Cybernetics (SMC), 2023
Aditya Kapoor
Vartika Sengar
Nijil George
Vighnesh Vatsal
J. Gubbi
B. P.
Arpan Pal
177
3
0
21 Oct 2023
"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA
  Moderna -- "The New Electricity": Applications, Risks, and Trends in Current
  AI
"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna -- "The New Electricity": Applications, Risks, and Trends in Current AI
A. Bazzan
Anderson R. Tavares
André G. Pereira
C. R. Jung
Jacob Scharcanski
J. Carbonera
Luís C. Lamb
Mariana Recamonde Mendoza
T. L. T. D. Silveira
V. P. Moreira
151
0
0
08 Oct 2023
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models
  through Logic
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through LogicInternational Conference on Language Resources and Evaluation (LREC), 2023
Xufeng Zhao
Mengdi Li
Wenhao Lu
C. Weber
Jae Hee Lee
Kun-Mo Chu
S. Wermter
LRMAI4CEReLM
302
59
0
23 Sep 2023
Neurosymbolic Reinforcement Learning and Planning: A Survey
Neurosymbolic Reinforcement Learning and Planning: A SurveyIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Kamal Acharya
Waleed Raza
Carlos Dourado
Alvaro Velasquez
Houbing Song
NAIOffRL
228
39
0
02 Sep 2023
Autonomous Choreography of WebAssembly Workloads in the Federated
  Cloud-Edge-IoT Continuum
Autonomous Choreography of WebAssembly Workloads in the Federated Cloud-Edge-IoT Continuum
Piotr Sowiński
Ignacio Lacalle
Rafael Vaño
C. Palau
184
4
0
06 Aug 2023
Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs
Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs
L. Delong
Ramon Fernández Mir
Zonglin Ji
Fiona Niamh Coulter Smith
Jacques D. Fleuriot
178
2
0
17 Jul 2023
Large Language Models
Large Language ModelsCommunications of the ACM (CACM), 2023
Michael R Douglas
LLMAGLM&MA
599
932
0
11 Jul 2023
Teach Me How to Learn: A Perspective Review towards User-centered
  Neuro-symbolic Learning for Robotic Surgical Systems
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems
Amr Gomaa
Bilal Mahdy
Niko Kleer
Michael Feld
Frank Kirchner
Antonio Krüger
243
6
0
07 Jul 2023
Additive Decoders for Latent Variables Identification and
  Cartesian-Product Extrapolation
Additive Decoders for Latent Variables Identification and Cartesian-Product ExtrapolationNeural Information Processing Systems (NeurIPS), 2023
Sébastien Lachapelle
Divyat Mahajan
Ioannis Mitliagkas
Damien Scieur
286
44
0
05 Jul 2023
Learning Differentiable Logic Programs for Abstract Visual Reasoning
Learning Differentiable Logic Programs for Abstract Visual ReasoningMachine-mediated learning (ML), 2023
Hikaru Shindo
Viktor Pfanschilling
Devendra Singh Dhami
Kristian Kersting
NAI
316
17
0
03 Jul 2023
The Integer Linear Programming Inference Cookbook
The Integer Linear Programming Inference Cookbook
Vivek Srikumar
Dan Roth
205
1
0
30 Jun 2023
logLTN: Differentiable Fuzzy Logic in the Logarithm Space
logLTN: Differentiable Fuzzy Logic in the Logarithm Space
Samy Badreddine
Luciano Serafini
Michael Spranger
159
2
0
26 Jun 2023
Neuro-Symbolic Bi-Directional Translation -- Deep Learning
  Explainability for Climate Tipping Point Research
Neuro-Symbolic Bi-Directional Translation -- Deep Learning Explainability for Climate Tipping Point Research
C. Ashcraft
Jennifer Sleeman
Caroline Tang
Jay Brett
A. Gnanadesikan
138
2
0
19 Jun 2023
Scalable Neural-Probabilistic Answer Set Programming
Scalable Neural-Probabilistic Answer Set ProgrammingJournal of Artificial Intelligence Research (JAIR), 2023
Arseny Skryagin
Daniel Ochs
Devendra Singh Dhami
Kristian Kersting
211
16
0
14 Jun 2023
V-LoL: A Diagnostic Dataset for Visual Logical Learning
V-LoL: A Diagnostic Dataset for Visual Logical Learning
Lukas Helff
Wolfgang Stammer
Hikaru Shindo
Devendra Singh Dhami
Kristian Kersting
NAI
302
9
0
13 Jun 2023
Statistical relational learning and neuro-symbolic AI: what does
  first-order logic offer?
Statistical relational learning and neuro-symbolic AI: what does first-order logic offer?
Vaishak Belle
NAI
85
0
0
08 Jun 2023
PaD: Program-aided Distillation Can Teach Small Models Reasoning Better
  than Chain-of-thought Fine-tuning
PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Xuekai Zhu
Biqing Qi
Kaiyan Zhang
Xingwei Long
Zhouhan Lin
Bowen Zhou
ALMLRM
305
27
0
23 May 2023
Neural Machine Translation for Code Generation
Neural Machine Translation for Code Generation
K. Dharma
Clayton T. Morrison
330
7
0
22 May 2023
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using
  Knowledge Graphs in Visual Relationship Detection
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection
D. Herron
Ernesto Jiménez-Ruiz
G. Tarroni
Tillman Weyde
184
2
0
22 May 2023
Trustworthy, responsible, ethical AI in manufacturing and supply chains:
  synthesis and emerging research questions
Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions
Alexandra Brintrup
George Baryannis
Ashutosh Tiwari
S. Ratchev
Giovanna Martínez-Arellano
Jatinder Singh
221
8
0
19 May 2023
Use of a Taxonomy of Empathetic Response Intents to Control and
  Interpret Empathy in Neural Chatbots
Use of a Taxonomy of Empathetic Response Intents to Control and Interpret Empathy in Neural Chatbots
A. Welivita
Pearl Pu
140
3
0
17 May 2023
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
SatLM: Satisfiability-Aided Language Models Using Declarative PromptingNeural Information Processing Systems (NeurIPS), 2023
Xi Ye
Qiaochu Chen
Işıl Dillig
Greg Durrett
ReLMReCodLRM
352
109
0
16 May 2023
Towards a Neural Lambda Calculus: Neurosymbolic AI Applied to the Foundations of Functional Programming
Towards a Neural Lambda Calculus: Neurosymbolic AI Applied to the Foundations of Functional Programming
J. Flach
Alvaro F. Moreira
Luís C. Lamb
NAI
137
1
0
18 Apr 2023
Emergence of Symbols in Neural Networks for Semantic Understanding and
  Communication
Emergence of Symbols in Neural Networks for Semantic Understanding and Communication
Yang Chen
Liangxuan Guo
S. Yu
124
2
0
13 Apr 2023
Neuro-Symbolic Execution of Generic Source Code
Neuro-Symbolic Execution of Generic Source Code
Yaojie Hu
Jin Tian
NAI
222
0
0
23 Mar 2023
A Framework for Neurosymbolic Robot Action Planning using Large Language
  Models
A Framework for Neurosymbolic Robot Action Planning using Large Language Models
Alessio Capitanelli
Fulvio Mastrogiovanni
LM&RoLLMAG
220
15
0
01 Mar 2023
Empirical Investigation of Neural Symbolic Reasoning Strategies
Empirical Investigation of Neural Symbolic Reasoning StrategiesFindings (Findings), 2023
Yoichi Aoki
Keito Kudo
Tatsuki Kuribayashi
Ana Brassard
Masashi Yoshikawa
Keisuke Sakaguchi
Kentaro Inui
236
2
0
16 Feb 2023
Do Deep Neural Networks Capture Compositionality in Arithmetic
  Reasoning?
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Keito Kudo
Yoichi Aoki
Tatsuki Kuribayashi
Ana Brassard
Masashi Yoshikawa
Keisuke Sakaguchi
Kentaro Inui
CoGe
233
15
0
15 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
Neurosymbolic AI for Reasoning over Knowledge Graphs: A SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
L. Delong
Ramon Fernández Mir
Jacques D. Fleuriot
NAI
510
28
0
14 Feb 2023
Previous
1234
Next