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W2S-OPD is introduced, a simple yet effective OPD framework that improves the strong student by distilling from multiple weak models, and outperforms OPD, enables the student to surpass the domain teacher, and keeps improving the student even when every supervision source is weaker.
TSRouter, a graph-based dynamic routing framework that demonstrates robust zero-shot plug-and-play generalization to unseen models and novel tasks and preserves high performance while reducing computational overhead through cost-aware optimization.
This work presents a unified formulation of LLM routing as a sequential decision process characterized by five components: context encoders, model encoders, scoring functions, decision rules, and learning signals, covering single-turn, multi-turn, and personalized routing.
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