Search Results for author: Michael Fore

Found 4 papers, 0 papers with code

Unlearning Climate Misinformation in Large Language Models

no code implementations29 May 2024 Michael Fore, Simranjit Singh, Chaehong Lee, Amritanshu Pandey, Antonios Anastasopoulos, Dimitrios Stamoulis

Misinformation regarding climate change is a key roadblock in addressing one of the most serious threats to humanity.

Misinformation Retrieval

An LLM-Tool Compiler for Fused Parallel Function Calling

no code implementations7 May 2024 Simranjit Singh, Andreas Karatzas, Michael Fore, Iraklis Anagnostopoulos, Dimitrios Stamoulis

State-of-the-art sequential reasoning in Large Language Models (LLMs) has expanded the capabilities of Copilots beyond conversational tasks to complex function calling, managing thousands of API calls.

GeckOpt: LLM System Efficiency via Intent-Based Tool Selection

no code implementations24 Apr 2024 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.

GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots

no code implementations23 Apr 2024 Simranjit Singh, Michael Fore, Dimitrios Stamoulis

Geospatial Copilots unlock unprecedented potential for performing Earth Observation (EO) applications through natural language instructions.

Earth Observation

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