37 citations · 158 across the 56 of their papers we have counts for
3 papers · 1 filter
Quantifying Memorization and Parametric Response Rates in Retrieval-Augmented Vision-Language Models
Peter Carragher, Abhinand Jha, R Raghav +1
Large Language Models (LLMs) demonstrate remarkable capabilities in question answering (QA), but metrics for assessing their reliance on memorization versus retrieval remain underd…
Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications?
Rex Chen, Kathleen M. Carley, Fei Fang +1
Traffic simulators are used to generate data for learning in intelligent transportation systems (ITSs). A key question is to what extent their modelling assumptions affect the capa…
Learning future terrorist targets through temporal meta-graphs
Gian Maria Campedelli, Mihovil Bartulovic, Kathleen M. Carley
In the last 20 years, terrorism has led to hundreds of thousands of deaths and massive economic, political, and humanitarian crises in several regions of the world. Using real-worl…