5 citations · 10 across the 6 of their papers we have counts for
7 papers
The KnowWhereGraph: A Large-Scale Geo-Knowledge Graph for Interdisciplinary Knowledge Discovery and Geo-Enrichment
Rui Zhu, Cogan Shimizu, Shirly Stephen +25
Global challenges such as food supply chain disruptions, public health crises, and natural hazard responses require access to and integration of diverse datasets, many of which are…
Ontology Population using LLMs
Sanaz Saki Norouzi, Adrita Barua, Antrea Christou +4
Knowledge graphs (KGs) are increasingly utilized for data integration, representation, and visualization. While KG population is critical, it is often costly, especially when data…
The KnowWhereGraph Ontology
Cogan Shimizu, Shirly Stephe, Adrita Barua +21
KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate…
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis
Abhilekha Dalal, Rushrukh Rayan, Adrita Barua +3
A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would help answer the question of what a deep learning syst…
On the Psychology of GPT-4: Moderately anxious, slightly masculine, honest, and humble
Adrita Barua, Gary Brase, Ke Dong +2
We subject GPT-4 to a number of rigorous psychometric tests and analyze the results. We find that, compared to the average human, GPT-4 tends to show more honesty and humility, and…
Understanding CNN Hidden Neuron Activations Using Structured Background Knowledge and Deductive Reasoning
Abhilekha Dalal, Md Kamruzzaman Sarker, Adrita Barua +2
A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would provide insights into the question of what a deep lea…
Explaining Deep Learning Hidden Neuron Activations using Concept Induction
Abhilekha Dalal, Md Kamruzzaman Sarker, Adrita Barua +1
One of the current key challenges in Explainable AI is in correctly interpreting activations of hidden neurons. It seems evident that accurate interpretations thereof would provide…