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ReCal: Reward Calibration for RL-based LLM Routing
用奖励校准解决LLM路由难题，RL方法让大模型调度更高效精准。
arXiv:2606.12479v1 Announce Type: cross Abstract: Large language model (LLM) routing has emerged as an effective paradigm for leveraging the complemen…
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From Sampled Outcomes to Capability Distributions: Rethinking Supervision for LLM Routing
重新思考LLM路由的监督范式，从采样结果转向能力分布，为模型选择提供新视角。
arXiv:2606.06924v1 Announce Type: new Abstract: Existing LLM routing methods typically treat a model's single response to a query as its capability la…