Do modules stay in their lane? Role drift in compound LLM systems
Read the original at arxiv.org→arXiv:2607.21627v1 Announce Type: new Abstract: End-to-end reinforcement learning can improve the accuracy of compound LLM systems, but it does not constrain how modules divide labor internally. We identify Role...
Original headline: "Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems"
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- Jul 27, 04:00 UTC arXiv cs.AI lead source Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems