1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.MA2025
MALBO: Optimizing LLM-Based Multi-Agent Teams via Multi-Objective Bayesian Optimization
Antonio Sabbatella
The optimal assignment of Large Language Models (LLMs) to specialized roles in multi-agent systems is a significant challenge, defined by a vast combinatorial search space, expensi…
cs.LG2023★ 1 cited
A Bayesian approach for prompt optimization in pre-trained language models
Antonio Sabbatella, Andrea Ponti, Antonio Candelieri +2
A prompt is a sequence of symbol or tokens, selected from a vocabulary according to some rule, which is prepended/concatenated to a textual query. A key problem is how to select th…