Research2026-05-14
CANTANTE: Optimizing Agentic Systems via Contrastive Credit Attribution
Source: Arxiv CS.AI
arXiv:2605.13295v1 Announce Type: cross Abstract: LLM-based multi-agent systems have demonstrated strong performance across complex real-world tasks, such as software engineering, predictive modeling, and retrieval-augmented generation. Yet automating their configuration remains a structural...
arxivpapersagents