RouteWeaver jointly learns LLM routing mode and execution
Average accuracy is 61.4%, an 11.03% relative gain over the strongest baseline across five domains.
Stories per day · 30 days
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Stories tagged #llm-routing
FlexRouter: Learning Complementary Model Sets for Flexible LLM Routing
FlexRouter selects complementary LLM subsets with DPPs to maximize answer coverage without a fixed inference budget.
Routing Should Pay for Itself: Sparse Supervision for Economical LLM Routing
SaveRouter trains LLM routers on 33–41% of feedback and shortens cost payback by up to 9.5 times.
Pretrain Once, Route Anywhere: Towards a Foundation Model for LLM Routing
RouteFM pretrains a frozen LLM router that generalizes to new models using behavioral context alone.
SeLMRoute: Probabilistic Semantic Evidence for Large Language Model Routing
SeLMRoute routes queries with probabilistic semantic evidence and beats the strongest fixed model on LLMRouterBench.
Online Learning with LLM Experts from Limited Feedback
Paper proposes bandit algorithms for adaptively routing prompts to LLM experts, minimizing regret under limited feedback budgets.