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Learning Reasoning Strategies in End-to-End Differentiable Proving

Learning Reasoning Strategies in End-to-End Differentiable Proving

13 July 2020
Pasquale Minervini
Sebastian Riedel
Pontus Stenetorp
Edward Grefenstette
Tim Rocktaschel
    LRM
ArXivPDFHTML

Papers citing "Learning Reasoning Strategies in End-to-End Differentiable Proving"

21 / 21 papers shown
Title
Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Models
Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Models
Irtaza Khalid
Amir Masoud Nourollah
Steven Schockaert
LRM
40
0
0
30 Mar 2025
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
Qiyuan He
Jianfei Yu
Wenya Wang
LRM
29
0
0
03 Jan 2025
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning
Aaditya Naik
Jason Liu
Claire Wang
Saikat Dutta
Mayur Naik
Mayur Naik
Eric Wong
26
1
0
04 Oct 2024
Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning
Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning
Roshanak Mirzaee
Parisa Kordjamshidi
LRM
21
7
0
25 Oct 2023
Coupling Large Language Models with Logic Programming for Robust and
  General Reasoning from Text
Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text
Zhun Yang
Adam Ishay
Joohyung Lee
LRM
ELM
30
50
0
15 Jul 2023
Learning Differentiable Logic Programs for Abstract Visual Reasoning
Learning Differentiable Logic Programs for Abstract Visual Reasoning
Hikaru Shindo
Viktor Pfanschilling
D. Dhami
Kristian Kersting
NAI
29
6
0
03 Jul 2023
Towards Unbiased Exploration in Partial Label Learning
Towards Unbiased Exploration in Partial Label Learning
Zsolt Zombori
Agapi Rissaki
Kristóf Szabó
Wolfgang Gatterbauer
Michael Benedikt
SSL
UQCV
19
1
0
02 Jul 2023
Scallop: A Language for Neurosymbolic Programming
Scallop: A Language for Neurosymbolic Programming
Ziyang Li
Jiani Huang
Mayur Naik
ReLM
LRM
NAI
18
30
0
10 Apr 2023
A Noise-tolerant Differentiable Learning Approach for Single Occurrence
  Regular Expression with Interleaving
A Noise-tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving
Rongzhen Ye
Tianqu Zhuang
Hai Wan
Jianfeng Du
Weilin Luo
Pingjia Liang
11
2
0
01 Dec 2022
Instance-based Learning for Knowledge Base Completion
Instance-based Learning for Knowledge Base Completion
Wanyun Cui
Xingran Chen
22
7
0
13 Nov 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and
  Privacy Protection
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
...
Guangyu Sun
Peng Cui
Zibin Zheng
Zhe Liu
P. Zhao
OOD
25
25
0
20 May 2022
Neural Theorem Provers Delineating Search Area Using RNN
Neural Theorem Provers Delineating Search Area Using RNN
Yu-hao Wu
Hou-Biao Li
LRM
25
1
0
14 Mar 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic
  Programming
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Eleonora Misino
G. Marra
Emanuele Sansone
18
21
0
07 Feb 2022
A Critical Review of Inductive Logic Programming Techniques for
  Explainable AI
A Critical Review of Inductive Logic Programming Techniques for Explainable AI
Zheng Zhang
Liangliang Xu
L. Yilmaz
Bo Liu
20
7
0
31 Dec 2021
Systematic Generalization with Edge Transformers
Systematic Generalization with Edge Transformers
Leon Bergen
Timothy J. O'Donnell
Dzmitry Bahdanau
10
46
0
01 Dec 2021
Relational Reasoning Networks
Relational Reasoning Networks
G. Marra
Michelangelo Diligenti
Francesco Giannini
NAI
29
4
0
01 Jun 2021
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking
  Reasoning Interpretability
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability
Xin Lv
Yixin Cao
Lei Hou
Juan-Zi Li
Zhiyuan Liu
Yichi Zhang
Zelin Dai
LRM
21
19
0
14 Apr 2021
Logic Tensor Networks for Semantic Image Interpretation
Logic Tensor Networks for Semantic Image Interpretation
Ivan Donadello
Luciano Serafini
Artur Garcez
56
209
0
24 May 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,923
0
17 Aug 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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