78 citations · 164 across the 20 of their papers we have counts for
22 papers
Natural Language Interaction with Databases on Edge Devices in the Internet of Battlefield Things
Christopher D. Molek, Roberto Fronteddu, K. Brent Venable +1
The expansion of the Internet of Things (IoT) in the battlefield, Internet of Battlefield Things (IoBT), gives rise to new opportunities for enhancing situational awareness. To inc…
Extracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterization
Aliakbar Nafar, Kristen Brent Venable, Zijun Cui +1
In this work, we evaluate the potential of Large Language Models (LLMs) in building Bayesian Networks (BNs) by approximating domain expert priors. LLMs have demonstrated potential…
Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models
Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi
Generative Large Language Models (LLMs) are capable of being in-context learners. However, the underlying mechanism of in-context learning (ICL) is still a major research question,…
Distributed Autonomous Swarm Formation for Dynamic Network Bridging
Raffaele Galliera, Thies Möhlenhof, Alessandro Amato +3
Effective operation and seamless cooperation of robotic systems are a fundamental component of next-generation technologies and applications. In contexts such as disaster response,…
Reasoning over Uncertain Text by Generative Large Language Models
Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi
This paper considers the challenges Large Language Models (LLMs) face when reasoning over text that includes information involving uncertainty explicitly quantified via probability…
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning
Raffaele Galliera, Kristen Brent Venable, Matteo Bassani +1
Efficient information dissemination is crucial for supporting critical operations across domains like disaster response, autonomous vehicles, and sensor networks. This paper introd…