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Larger sliding-window attention can paradoxically slow down the formation of critical retrieval mechanisms in language models, challenging conventional design assumptions.
Forget slow and steady: "Fast Thinking" prompts, combined with carefully tuned reward functions and REINFORCE, can dramatically boost the performance of RL-trained research agents.
