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Reward-guided optimization can be selectively applied to enhance generative recommendation performance, avoiding the pitfalls of uniform reinforcement learning.
Forget manual data curation – now LLMs can autonomously engineer training data that boosts student model performance by over 57%.
Today's best data analysis agents forget crucial context as conversations drag on, dropping nearly 50 points in accuracy when reasoning through longer analyses.