Nicol{\`o} Monaldini

PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models

Integrating external tools with Large Language Models (LLMs) has emerged as a promising paradigm for accomplishing complex tasks. Since LLMs still struggle to effectively manage large tool collections, researchers have begun exploring retrieval-based methods to pre-select the most relevant options,