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Traditional interpretability fails to predict task-critical mechanisms before training, but this new framework bridges that gap, enabling more effective fine-tuning strategies.
Despite high pull request acceptance rates, a staggering 93% of valuable commits in software forks remain unmerged, highlighting a critical gap in collaborative development.
