SLMs as multi-agent routers: a progressive SFT and reinforcement learning approach
Read the original at arxiv.org→arXiv:2608.00030v1 Announce Type: new Abstract: Specialised retrieval agents typically surface higher quality results than general-purpose search, but selecting the optimal agent for a given query remains an open...
Original headline: "SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach"
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- Aug 4, 04:00 UTC arXiv cs.CL lead source SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach