Difficulty-aware routing of high-consensus inputs to SFT and low-consensus inputs to consensus-regularized RL yields more accurate, stable, and cheaper test-time adaptation for LLM reasoning.
Stochastic Cooperative Interception Using Information Sharing Based on Engagement Staggering
2 Pith papers cite this work, alongside 39 external citations. Polarity classification is still indexing.
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A Bayesian decision theory framework modifies the DGL1 guidance law to incorporate estimation errors, yielding a stochastic law that complies with the generalized separation theorem and uses trajectory shaping for better estimation.
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