1 citations · 4 across the 17 of their papers we have counts for
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Referring Expressions as a Lens into Spatial Language Grounding in Vision-Language Models
Akshar Tumu, Varad Shinde, Parisa Kordjamshidi
Spatial Reasoning is an important component of human cognition and is an area in which the latest Vision-language models (VLMs) show signs of difficulty. The current analysis works…
Exploring Spatial Language Grounding Through Referring Expressions
Akshar Tumu, Parisa Kordjamshidi
Spatial Reasoning is an important component of human cognition and is an area in which the latest Vision-language models (VLMs) show signs of difficulty. The current analysis works…
FoREST: Frame of Reference Evaluation in Spatial Reasoning Tasks
Tanawan Premsri, Parisa Kordjamshidi
Spatial reasoning is a fundamental aspect of human intelligence. One key concept in spatial cognition is the Frame of Reference, which identifies the perspective of spatial express…
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…
Neuro-symbolic Training for Reasoning over Spatial Language
Tanawan Premsri, Parisa Kordjamshidi
Spatial reasoning based on natural language expressions is essential for everyday human tasks. This reasoning ability is also crucial for machines to interact with their environmen…
Syntax-Guided Transformers: Elevating Compositional Generalization and Grounding in Multimodal Environments
Danial Kamali, Parisa Kordjamshidi
Compositional generalization, the ability of intelligent models to extrapolate understanding of components to novel compositions, is a fundamental yet challenging facet in AI resea…
Using Persuasive Writing Strategies to Explain and Detect Health Misinformation
Danial Kamali, Joseph Romain, Huiyi Liu +3
Nowadays, the spread of misinformation is a prominent problem in society. Our research focuses on aiding the automatic identification of misinformation by analyzing the persuasive…