879-1888 |
KEA Explain: A Neurosymbolic Framework for Detecting and Explaining LLM Hallucinations |
09/Oct/2025 |
894-1905 |
Neurosymbolic Architectures for Algorithmic Fairness |
08/Oct/2025 |
864-1871 |
A Mathematical Framework and a Suite of Learning Techniques for Neural-Symbolic Systems |
08/Oct/2025 |
844-1849 |
Metrizable symbolic data structure for ill-defined problem solving |
07/Oct/2025 |
884-1894 |
Neuro-LENS: a neuro-symbolic framework integrating incomplete background knowledge and deep learning |
07/Oct/2025 |
861-1868 |
Experiments in Graph Structure and Knowledge Graph Embeddings |
07/Oct/2025 |
852-1858 |
Solving Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation |
06/Oct/2025 |
867-1875 |
Leveraging Neurosymbolic AI for Slice Discovery |
06/Oct/2025 |
882-1891 |
Robust Long-Context Multilingual Retrieval and Reasoning Enabled by Combined Neural and Symbolic Techniques |
05/Oct/2025 |
843-1847 |
Neuro-Symbolic methods for Trustworthy AI: a systematic review with a focus on interpretability |
02/Oct/2025 |
866-1874 |
Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures – Benefits and Limitations |
02/Oct/2025 |
883-1893 |
Learning and Reasoning with Model-Grounded Symbolic Artificial Intelligence Systems |
01/Oct/2025 |
886-1896 |
mULLER: A Modular Monad-Based Semantics of the Neurosymbolic ULLER Framework |
01/Oct/2025 |
881-1890 |
Graph Neural Network based hierarchy-aware Box Embeddings of Knowledge Graphs |
01/Oct/2025 |
885-1895 |
Neurosymbolic models based on hybrids of convolutional neural networks and decision trees |
01/Oct/2025 |
877-1885 |
A Survey of Neurosymbolic Answer Set Programming |
24/Sep/2025 |
892-1903 |
Gestalt Vision: A Dataset for Evaluating Gestalt Principles in Visual Perception |
21/Sep/2025 |
888-1898 |
Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis |
18/Sep/2025 |
880-1889 |
A Neurosymbolic Approach to Counterfactual Fairness |
12/Sep/2025 |