arxiv
PublishedOctober 16, 2026 at 4:00 AM
Learning to Steer LLM Agents and Multi-Agent Systems
Publisher summary· verbatim
arXiv:2610.22316v1 Announce Type: cross Abstract: Large language model (LLM)-based agents and multi-agent systems increasingly tackle complex tasks through long-horizon tool use and inter-agent collaboration. However, these systems are prone to deviating from the overall goal as execution unfolds, w
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Originally published on arxiv ↗