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most citedGDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

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cs.IR2026

LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation

Lee Xiong, Zhirong Chen, Rahul Mayuranath +17

We present LLaTTE (LLM-Style Latent Transformers for Temporal Events), a scalable transformer architecture for production ads recommendation. Through systematic experiments, we dem…