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LLM-translated code can be slower than human-written code, but SwiftTrans bridges this gap with a novel two-stage framework that boosts both correctness and efficiency.
Reducing reasoning tokens while boosting accuracy, SuCo transforms how LRMs approach problem-solving by focusing on sufficiency rather than excess.
ReGrad enables scalable and reversible knowledge injection without the risk of catastrophic forgetting, outperforming traditional methods in both general and domain-specific tasks.