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Astar not only surpasses human experts in proposing evolution directions but also automates the entire iteration process, leading to substantial revenue gains.
CoT reasoning can hurt recommender performance by drowning out important ID signals – unless you compress reasoning chains and use bias-subtracted contrastive decoding to realign the inference subspace.
