Saved in:
| Main Authors: | Feldstein, Jonathan, Phillips, Dominic, Tsamoura, Efthymia |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.16238 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic Reasoning
by: Feldstein, Jonathan, et al.
Published: (2024)
by: Feldstein, Jonathan, et al.
Published: (2024)
Goal-Driven Query Answering over First- and Second-Order Dependencies with Equality
by: Tsamoura, Efthymia, et al.
Published: (2024)
by: Tsamoura, Efthymia, et al.
Published: (2024)
On Learning Latent Models with Multi-Instance Weak Supervision
by: Wang, Kaifu, et al.
Published: (2023)
by: Wang, Kaifu, et al.
Published: (2023)
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
by: Luo, Linhao, et al.
Published: (2023)
by: Luo, Linhao, et al.
Published: (2023)
Stochastic Monkeys at Play: Random Augmentations Cheaply Break LLM Safety Alignment
by: Vega, Jason, et al.
Published: (2024)
by: Vega, Jason, et al.
Published: (2024)
Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies
by: Wang, Kaifu, et al.
Published: (2024)
by: Wang, Kaifu, et al.
Published: (2024)
Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts
by: Marconato, Emanuele, et al.
Published: (2025)
by: Marconato, Emanuele, et al.
Published: (2025)
Neurosymbolic Methods for Rule Mining
by: Lawrynowicz, Agnieszka, et al.
Published: (2024)
by: Lawrynowicz, Agnieszka, et al.
Published: (2024)
Opinion Mining Based Entity Ranking using Fuzzy Logic Algorithmic Approach
by: Kalamkar, Pratik N., et al.
Published: (2025)
by: Kalamkar, Pratik N., et al.
Published: (2025)
Learning Logical Rules using Minimum Message Length
by: Sharma, Ruben, et al.
Published: (2025)
by: Sharma, Ruben, et al.
Published: (2025)
Learning Quadruped Locomotion Policies using Logical Rules
by: DeFazio, David, et al.
Published: (2021)
by: DeFazio, David, et al.
Published: (2021)
Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentation
by: Ben-Naim, Jonathan, et al.
Published: (2024)
by: Ben-Naim, Jonathan, et al.
Published: (2024)
Seqret: Mining Rule Sets from Event Sequences
by: Siji, Aleena, et al.
Published: (2025)
by: Siji, Aleena, et al.
Published: (2025)
Logic Agent: Enhancing Validity with Logic Rule Invocation
by: Liu, Hanmeng, et al.
Published: (2024)
by: Liu, Hanmeng, et al.
Published: (2024)
Neural Probabilistic Logic Learning for Knowledge Graph Reasoning
by: Sun, Fengsong, et al.
Published: (2024)
by: Sun, Fengsong, et al.
Published: (2024)
On Improving Neurosymbolic Learning by Exploiting the Representation Space
by: Naik, Aaditya, et al.
Published: (2026)
by: Naik, Aaditya, et al.
Published: (2026)
Semirings for Probabilistic and Neuro-Symbolic Logic Programming
by: Derkinderen, Vincent, et al.
Published: (2024)
by: Derkinderen, Vincent, et al.
Published: (2024)
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic
by: Verreet, Victor, et al.
Published: (2024)
by: Verreet, Victor, et al.
Published: (2024)
How Rules Represent Causal Knowledge: Causal Modeling with Abductive Logic Programs
by: Rückschloß, Kilian, et al.
Published: (2025)
by: Rückschloß, Kilian, et al.
Published: (2025)
Pointwise-in-Time Explanation for Linear Temporal Logic Rules
by: Brindise, Noel, et al.
Published: (2023)
by: Brindise, Noel, et al.
Published: (2023)
Mining Path Association Rules in Large Property Graphs (with Appendix)
by: Sasaki, Yuya, et al.
Published: (2024)
by: Sasaki, Yuya, et al.
Published: (2024)
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
by: Xie, Tian, et al.
Published: (2025)
by: Xie, Tian, et al.
Published: (2025)
SLogic: Subgraph-Informed Logical Rule Learning for Knowledge Graph Completion
by: Le, Trung Hoang, et al.
Published: (2025)
by: Le, Trung Hoang, et al.
Published: (2025)
Explaining Explanations in Probabilistic Logic Programming
by: Vidal, Germán
Published: (2024)
by: Vidal, Germán
Published: (2024)
On Trivalent Logics, Compound Conditionals, and Probabilistic Deduction Theorems
by: Gilio, Angelo, et al.
Published: (2023)
by: Gilio, Angelo, et al.
Published: (2023)
Declarative Probabilistic Logic Programming in Discrete-Continuous Domains
by: Martires, Pedro Zuidberg Dos, et al.
Published: (2023)
by: Martires, Pedro Zuidberg Dos, et al.
Published: (2023)
Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models
by: Lin, Moule, et al.
Published: (2026)
by: Lin, Moule, et al.
Published: (2026)
Probabilistic Strategy Logic with Degrees of Observability
by: Mu, Chunyan, et al.
Published: (2024)
by: Mu, Chunyan, et al.
Published: (2024)
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
by: Hersche, Michael, et al.
Published: (2024)
by: Hersche, Michael, et al.
Published: (2024)
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models
by: Gui, Jiayi, et al.
Published: (2024)
by: Gui, Jiayi, et al.
Published: (2024)
Active Rule Mining for Multivariate Anomaly Detection in Radio Access Networks
by: Isaac, Ebenezer R. H. P., et al.
Published: (2025)
by: Isaac, Ebenezer R. H. P., et al.
Published: (2025)
Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs
by: Shirvani-Mahdavi, Nasim, et al.
Published: (2025)
by: Shirvani-Mahdavi, Nasim, et al.
Published: (2025)
Integrating Belief Domains into Probabilistic Logic Programs
by: Azzolini, Damiano, et al.
Published: (2025)
by: Azzolini, Damiano, et al.
Published: (2025)
Learning Probabilistic Temporal Logic Specifications for Stochastic Systems
by: Roy, Rajarshi, et al.
Published: (2025)
by: Roy, Rajarshi, et al.
Published: (2025)
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
by: Piriyakulkij, Wasu Top, et al.
Published: (2024)
by: Piriyakulkij, Wasu Top, et al.
Published: (2024)
RLJP: Legal Judgment Prediction via First-Order Logic Rule-enhanced with Large Language Models
by: Zhang, Yue, et al.
Published: (2025)
by: Zhang, Yue, et al.
Published: (2025)
Teaching Probabilistic Logical Reasoning to Transformers
by: Nafar, Aliakbar, et al.
Published: (2023)
by: Nafar, Aliakbar, et al.
Published: (2023)
Neuro-Symbolic Learning for Predictive Process Monitoring via Two-Stage Logic Tensor Networks with Rule Pruning
by: De Santis, Fabrizio, et al.
Published: (2026)
by: De Santis, Fabrizio, et al.
Published: (2026)
Analysing the Needs of Homeless People Using Feature Selection and Mining Association Rules
by: Alcalde-Llergo, José M., et al.
Published: (2024)
by: Alcalde-Llergo, José M., et al.
Published: (2024)
LLM-Assisted Logic Rule Learning: Scaling Human Expertise for Time Series Anomaly Detection
by: Zhang, Haoting, et al.
Published: (2026)
by: Zhang, Haoting, et al.
Published: (2026)
Similar Items
-
Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic Reasoning
by: Feldstein, Jonathan, et al.
Published: (2024) -
Goal-Driven Query Answering over First- and Second-Order Dependencies with Equality
by: Tsamoura, Efthymia, et al.
Published: (2024) -
On Learning Latent Models with Multi-Instance Weak Supervision
by: Wang, Kaifu, et al.
Published: (2023) -
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
by: Luo, Linhao, et al.
Published: (2023) -
Stochastic Monkeys at Play: Random Augmentations Cheaply Break LLM Safety Alignment
by: Vega, Jason, et al.
Published: (2024)