Learning to Steer LLM Agents and Multi-Agent Systems.
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
arXiv cs.AIResearch source·