arXiv cs.CL
· Papers
SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach
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 problem. Current approaches route queries based on inferred topic or intent, however intent-based selection