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Add to EdgeHarnessing the Power of Multiple Minds: Lessons Learned from LLM Routing
May 01, 2024
With the rapid development of LLMs, it is natural to ask how to harness their capabilities efficiently. In this paper, we explore whether it is feasible to direct each input query to a single most suitable LLM. To this end, we propose LLM routing for challenging reasoning tasks. Our extensive experiments suggest that such routing shows promise but is not feasible in all scenarios, so more robust approaches should be investigated to fill this gap.
* Accepted to Workshop on Insights from Negative Results in NLP 2024
(co-located with NAACL 2024)
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