1 citations · 2 across the 3 of their papers we have counts for
3 papers
GeckOpt: LLM System Efficiency via Intent-Based Tool Selection
Michael Fore, Simranjit Singh, Dimitrios Stamoulis
In this preliminary study, we investigate a GPT-driven intent-based reasoning approach to streamline tool selection for large language models (LLMs) aimed at system efficiency. By…
Evaluating Tool-Augmented Agents in Remote Sensing Platforms
Simranjit Singh, Michael Fore, Dimitrios Stamoulis
Tool-augmented Large Language Models (LLMs) have shown impressive capabilities in remote sensing (RS) applications. However, existing benchmarks assume question-answering input tem…
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots
Simranjit Singh, Michael Fore, Dimitrios Stamoulis
Geospatial Copilots unlock unprecedented potential for performing Earth Observation (EO) applications through natural language instructions. However, existing agents rely on overly…