5 papers
SATURN: Symbolic Spatial Reasoning for Multi-Perspective Grounding
Danial Kamali, Tanawan Premsri, Shreya Rajpal +3
Vision-Language Models (VLMs) remain unreliable when spatial reasoning requires composing relations whose meanings depend on frames of reference. Existing neuro-symbolic methods ma…
An Agentic Framework for Neuro-Symbolic Programming
Aliakbar Nafar, Chetan Chigurupati, Danial Kamali +2
Integrating symbolic constraints into deep learning models could make them more robust, interpretable, and data-efficient. Still, it remains a time-consuming and challenging task.…
NePTune: A Neuro-Pythonic Framework for Tunable Compositional Reasoning on Vision-Language
Danial Kamali, Parisa Kordjamshidi
Modern Vision-Language Models (VLMs) have achieved impressive performance in various tasks, yet they often struggle with compositional reasoning, the ability to decompose and recom…
Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis
Sania Sinha, Tanawan Premsri, Danial Kamali +1
Neurosymbolic (NeSy) frameworks combine neural representations and learning with symbolic representations and reasoning. Combining the reasoning capacities, explainability, and int…
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization
Danial Kamali, Elham J. Barezi, Parisa Kordjamshidi
Compositional generalization is crucial for artificial intelligence agents to solve complex vision-language reasoning tasks. Neuro-symbolic approaches have demonstrated promise in…