Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2505.11765.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

The paper introduces OMAC, a general optimization framework for LLM-based multi-agent systems. It identifies five optimization dimensions covering agent functionality and collaboration structure, proposes single-dimension and joint optimization algorithms, and reports superior performance over prior approaches on diverse tasks.

Provides a structured, experimentally validated method for tuning multi-agent LLM systems, addressing a gap where most MAS designs are still handcrafted.

Cited by

No citations on record.