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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·