Under Review

This page lists all submissions to Neurosymbolic Artificial Intelligences, which are under review.

Tracking # Title Updated Commentssort ascending
748-1735 A General Neural-symbolic Architecture for Knowledge-intensive Complex Question Answering 30/Nov/2024 0
774-1765 Benchmarking Neuro-Symbolic Description Logic Reasoners: Existing Challenges and A Way Forward 13/Aug/2024 0
783-1774 Algorithmic ersatz for VSA: Macroscopic simulation of Vector Symbolic Architecture 21/Sep/2024 0
788-1779 Revisiting Business Process Analysis through the lens of Large Language Models: Prompting experiments with BPMN process serializations 06/Dec/2024 0
795-1786 Assessing LLMs Suitability for Knowledge Graph Construction 27/Nov/2024 0
799-1790 Towards Interpretable Embeddings: Aligning Representations with Semantic Aspects 27/Nov/2024 0
803-1794 Towards Semantic Understanding of GNN Layers embedding with Functional-Semantic Activation Mapping 18/Nov/2024 0
807-1798 BeliefNet: A neurosymbolic model to enhance context based traversability predictions for autonomous agents in complex environments 03/Dec/2024 0
726-1708 Neuro-Symbolic methods for Trustworthy AI: a systematic review 05/Nov/2024 0
760-1749 LitKGE: Improving numeric LITerals based Knowledge Graph Embedding models 04/Dec/2024 0
777-1768 Artificial Intelligence and Internet of Things: A Neuro-Symbolic Approach for Automated Platform Configuration 05/Dec/2024 0
784-1775 Metrizable symbolic data structure for ill-defined problem solving 06/Dec/2024 0
791-1782 Cognitive LLMs: Toward Human-Like Artificial Intelligence by Integrating Cognitive Architectures and Large Language Models for Manufacturing Decision-making 02/Dec/2024 0
796-1787 DELE: Deductive EL++ Embeddings for Knowledge Base Completion 04/Nov/2024 0
800-1791 Towards a Neurosymbolic Understanding of Hidden Neuron Activations 12/Nov/2024 0
804-1795 Leveraging Neurosymbolic AI for Slice Discovery 25/Nov/2024 0
808-1799 Learning Semantic Association Rules from Internet of Things Data 05/Dec/2024 0
734-1718 Graph-ic Improvements: Adding Explicit Syntactic Graphs to Neural Machine Translation 27/Nov/2024 0
768-1757 Knowledge graph extraction in a practical context 28/Nov/2024 0
779-1770 Student Performance Prediction Model Based on Course Description and Student Similarity 30/Nov/2024 0
786-1777 Metal Price Spike Prediction via a Neurosymbolic Ensemble Approach 30/Nov/2024 0
792-1783 On the relevance of logic for AI, and the promise of neuro-symbolic learning 06/Dec/2024 0
797-1788 Lattice-based ALC ontology embeddings with saturation 24/Nov/2024 0
801-1792 Semantic-based Data Augmentation for Machine Learning Prediction Enhancement 26/Nov/2024 0
805-1796 Towards end-to-end ASP computation 03/Dec/2024 0
736-1720 Semi-Automated Synthesis of Driving Rules 02/Dec/2024 0
773-1763 Leveraging LLMs for Collaborative Ontology Engineering in Parkinson Disease Monitoring and Alerting 05/Dec/2024 0
782-1773 A Hybrid Knowledge Graph-based XAI Approach to Process Analysis with an Explanation User Interface 06/Dec/2024 0
787-1778 Design Patterns for LLM-based Neuro-Symbolic Systems 05/Dec/2024 0
794-1785 Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning 06/Nov/2024 0
798-1789 Solving Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation 24/Nov/2024 0
802-1793 Experimenting with neurosymbolic AI for defending against cyber attacks 12/Nov/2024 0
806-1797 Experiments in Graph Structure and Knowledge Graph Embeddings 23/Nov/2024 0
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