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Learning to Select, Not Relearn: Hard-Routed Mixtures of Reasoning LoRAs
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Research proposes a hard-routed mixture-of-experts approach for combining independently trained LoRA adapters in LLMs, preserving original update scales.
OneBench interpretation
Institutional assessment
So what
Combining domain-specific LoRAs via hard routing could reduce fine-tuning costs for multi-domain enterprise applications.
Do what
Brief your architecture team on this technique for potential future fine-tuning strategies.