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The Behavior-to-Value (B2V) task is proposed, a behavior-to-value measurement model based on Value Verification Tuning, which learns to assess whether behaviors provide sufficient evidence for each value inference, and experiments show that B2V-Verifier outperforms strong LLM baselines, improving multi-label classification by 34\%.
Generative image retrieval just got a major upgrade鈥擯ailitaoGR boosts performance by 13.8% by mastering target focus and auxiliary evidence utilization.
TransRetrieval achieves a 2.53% revenue boost while slashing computational costs by 85%, revolutionizing recommendation retrieval in industrial settings.
The standard evaluation protocol for generative time-series models can drastically misrepresent model performance, turning top performers into cautionary tales.
