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By recursively aggregating reasoning chains, even smaller LLMs can now achieve performance competitive with much larger models, challenging the assumption that scale is the only path to improved reasoning.
Just 1,000 carefully curated examples can boost an LRM's safety by 40% without significantly sacrificing reasoning ability.