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Bilevel optimization is a class of nested optimization problems: the outer level optimizes a set of hyperparameters or distribution parameters, while the inner level solves for the model's optimal policy given those parameters. L2RR treats the sampling distribution over source prompts as the outer variable and the GRPO policy update as the inner problem.
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11/3/2026
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