AggLM
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The curator’s take
AggLM introduces reinforcement learning to train LLMs in aggregating multiple candidate solutions, moving beyond majority voting and reward model ranking. It achieves higher accuracy, recovers minority-correct answers, generalizes across models, and uses fewer tokens than traditional aggregation methods.
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