: ZIP-RC reuses unused "logits" (the model's internal numerical outputs) during a standard forward pass to predict two critical factors for the current generation: Reward : The predicted quality or correctness of the output.
: It enables "adaptive generation," where the model can decide to stop early if the predicted reward is high or pivot to a different path if it senses a high-cost, low-reward outcome. On math benchmarks, it has shown accuracy improvements of up to 12% while maintaining lower average costs. rc.zip
In civil engineering, the phrase "RC Deep" often appears in "deep articles" regarding . These are structural members with a small span-to-depth ratio, meaning they are very thick compared to their length. : ZIP-RC reuses unused "logits" (the model's internal