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Improving descriptive reasoning trace quality can actually hinder recommendation effectiveness, challenging assumptions about the benefits of interpretability in AI systems.
Forget full retraining: intelligently selecting data subsets using gradient-based representations can keep your generative recommender fresh and robust to drift.
