1 citations · 4 across the 17 of their papers we have counts for
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Spatial Reasoning via Modality Switching Between Language and Symbolic Representations
Shreya Rajpal, Tanawan Premsri, Parisa Kordjamshidi
Human reasoning is inherently multimodal: when problems become difficult, we rarely think in words alone. We often externalize our reasoning by sketching diagrams or drawing grids…
Reasoners or Translators? Contamination-aware Evaluation and Neuro-Symbolic Robustness in Tax Law
Parisa Kordjamshidi, Samer Aslan, Madhavan Seshadri +2
Recent advances in large language models (LLMs) have significantly enhanced automated legal reasoning. Yet, it remains unclear whether their performance reflects genuine legal reas…
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…
Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA
Elham J. Barezi, Parisa Kordjamshidi
We study the Knowledge-Based visual question-answering problem, for which given a question, the models need to ground it into the visual modality to find the answer. Although many…
A Survey on Compositional Learning of AI Models: Theoretical and Experimental Practices
Sania Sinha, Tanawan Premsri, Parisa Kordjamshidi
Compositional learning, mastering the ability to combine basic concepts and construct more intricate ones, is crucial for human cognition, especially in human language comprehensio…
Find The Gap: Knowledge Base Reasoning For Visual Question Answering
Elham J. Barezi, Parisa Kordjamshidi
We analyze knowledge-based visual question answering, for which given a question, the models need to ground it into the visual modality and retrieve the relevant knowledge from a g…