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TransRetrieval boosts recommendation recall by over 19 points while slashing computational costs by 85%, proving that smarter aggregation can outperform brute force scaling.
The standard evaluation protocol for generative time-series models can drastically misrepresent model performance, turning top performers into cautionary tales.
